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  • Safari, an O'Reilly Media Company.  (338)
  • [Erscheinungsort nicht ermittelbar] : Packt Publishing  (231)
  • [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc.  (107)
Datasource
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Language
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  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing
    Language: English
    Pages: 1 online resource (1 video file, approximately 29 hr., 16 min.)
    Edition: 1st edition.
    Keywords: Electronic videos
    Abstract: The best Linux administration course that prepares you for corporate jobs and for RHCSA, RHCE, LFCS, CLNP certifications About This Video Gain advanced Linux systems administration skills Understand Linux fundamentals and concepts Prepare for your Redhat Certified System Administrator (RHCSA - EX200) In Detail Linux is the number one operating system in the corporate world. It is a popular open-source operating system that is easy to use and highly secure. If you want to start your career in Linux and have little or no knowledge of Linux, then this course is for you. In this course, you will master Linux installation, configuration, administration, troubleshooting, the command line, OS tools, and much more. We have included resume and interview workshops that will help you get your dream IT job. This course will also help significantly in passing your RHCSA, RHCE, LFCS, and CompTIA Linux+ certification exams. By the end of this course, you will be a professional Linux administrator, be able to apply for Linux jobs and to take the EX-200 exam, and become a Redhat Certified System Administrator (RHCSA - EX200). Audience This course is designed for people who want to start a career in Linux, those who want to become a RedHat Certified System Administrator (RHCSA EX-200), and anyone keen to master Linux command-line skills.
    Note: Online resource; Title from title screen (viewed February 28, 2022)
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  • 2
    ISBN: 0636920675648
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 11 min.)
    Edition: 1st edition.
    DDC: 005.8
    Keywords: Electronic videos
    Abstract: Observability-a measure of how well internal states of a system can be inferred from its outputs-is crucial for engineering, managing, and improving complex business-critical systems. Join us to learn how observability can help any software engineering team gain a deeper understanding of system performance, so you can perform ongoing maintenance and ship the features your customers need. About the Infrastructure & Ops Superstream Series: This four-part Superstream series guides you through what you need to know about modernizing your organization's infrastructure and operations, with each event day covering different topics and lasting no more than four hours. They're packed with the expert insights, skills, and tools that will help you effectively manage existing legacy systems while migrating to modern, scalable, cost-effective infrastructures-with no interruption to your business. What you'll learn and how you can apply it Gain a deeper understanding of system performance so you can perform ongoing maintenance and ship the features your customers need Understand how to build an observability-driven development practice Discover how your production services are really performing right now This recording of a live event is for you because... You're a developer who wants to learn the basics of observability and how to use it in your system. You want to better understand how observability can be used with data. You want to know what the future holds for observability and infrastructure and operations. Recommended follow-up: Read Observability Engineering (book) Read Kubernetes Security and Observability (book) Watch Observability at Google (video) Read Linux Observability with BPF (book) (Watch Case Study: How Lightstep Implemented Observability (recorded event)).
    Note: Online resource; Title from title screen (viewed January 12, 2022)
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  • 3
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 39 min.)
    Edition: 1st edition.
    DDC: 006.3/1
    Keywords: Streaming video ; Internet videos ; Vidéo en continu ; Vidéos sur Internet ; streaming video ; Internet videos ; Streaming video ; Electronic videos
    Abstract: Join us for an event focused on the many aspects of designing, deploying, and maintaining responsible AI. Event chair and responsible AI expert Rumman Chowdhury offers overarching context, stitching together shorter tech talks and conversations with industry leaders. What you'll learn and how you can apply it Discover what responsible AI includes (and what it doesn't) See what responsible AI looks like in action, from data to deployment to debugging Learn how to debug your ML model Explore real-world applications of responsible AI Understand what industry leaders think about when they think about responsibility This course is for you because... You're a machine learning engineer or data scientist interested in responsible AI. You're engaged in conversations about ethics and AI. You're wondering how to improve your own AI and machine learning. You're responsible for implementing fair or ethical AI practices in your role or project and looking for hands-on examples. Recommended follow-up: Read Responsible Machine Learning (report) Read AI and the Law (report) Read Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (book)
    Note: Online resource; Title from title screen (viewed June 16, 2021)
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  • 4
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (92 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to perform the reinforcement process that allows a machine to learn by itself. Author Dr. Phil Winder of Winder Research covers everything from basic building blocks to state-of-the-art practices. You'll explore the current state of RL, focusing on industrial applications, and learn numerous algorithms, frameworks, and environments. This is no cookbook-it doesn't shy away from math and expects familiarity with ML. Learn what RL is and how the algorithms help solve problems Become grounded in RL fundamentals including Markov decision processes, dynamic programming, and temporal difference learning Dive deep into value methods and policy gradient methods Apply advanced RL implementations such as meta learning, hierarchical learning, evolutionary algorithms, and imitation learning Understand cutting-edge deep RL algorithms including Rainbow, PPO, TD3, SAC, and more Get practical examples through the accompanying Git repository
    Note: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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  • 5
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (69 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: AI is poised to transform every aspect of healthcare, including the way we manage personal health from customer experience and clinical care to healthcare cost reductions. This practical book is one of the first to describe present and future use cases where AI can help solve pernicious healthcare problems. Kerrie Holley and Siupo Becker provide guidance to help informatics and healthcare leadership create AI strategy and implementation plans for healthcare. With this book, business stakeholders and practitioners will be able to build knowledge, a road map, and the confidence to support AI in their organizations-without getting into the weeds of algorithms or open source frameworks. Cowritten by an AI technologist and a medical doctor who leverages AI to solve healthcare's most difficult challenges, this book covers: The myths and realities of AI, now and in the future Human-centered AI: what it is and how to make it possible How to use various AI technologies to go beyond precision medicine Delivering patient care using the IoT and ambient computing with AI How AI can help reduce waste in healthcare AI strategy and identifying high-priority AI applications
    Note: Online resource; Title from title page (viewed February 25, 2021) , Mode of access: World Wide Web.
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  • 6
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (41 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: How to build models with TensorFlow using skills that employers desire The basics of machine learning by working with code samples How to implement computer vision, including feature detection in images How to use NLP to tokenize and sequence words and sentences Methods for embedding models in Android and iOS How to serve models over the web and in the cloud with TensorFlow Serving
    Note: Online resource; Title from title page (viewed April 25, 2021) , Mode of access: World Wide Web.
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  • 7
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (76 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: React helps you create and work on an app in just a few minutes, but learning how to put all the pieces together is hard. How do you validate a form? Or implement a complex multistep user action without writing messy code? How do you test your code? Make it reusable? Wire it to a backend? Keep it easy to understand? The React Cookbook delivers answers fast. Many books teach you how to get started, understand the framework, or use a component library with React, but very few provide examples to help you solve particular problems. This easy-to-use cookbook includes the example code developers need to unravel the most common problems when using React, categorized by topic area and problem. You'll learn how to: Create a single-page application in React using a rich UI Structure code that can be worked on by large teams Integrate with backend services such as REST and GraphQL Use offline caching with technologies such as Redux or MobX Secure applications with technologies such as OAuth Deal with bugs and avoid common functional and performance problems
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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  • 8
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (110 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Data pipelines are the foundation for success in data analytics and machine learning. Moving data from many diverse sources and processing it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack. You'll learn common considerations and key decision points when implementing pipelines, such as data pipeline design patterns, data ingestion implementation, data transformation, the orchestration of pipelines, and build versus buy decision making. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions. You'll learn: What a data pipeline is and how it works How data is moved and processed on modern data infrastructure, including cloud platforms Common tools and products used by data engineers to build pipelines How pipelines support machine learning and analytics needs Considerations for pipeline maintenance, testing, and alerting
    Note: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
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  • 9
    Language: English
    Pages: 1 online resource (50 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: As your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data governance incorporates the ways that people, processes, and technology work together to support business efficiency. With this practical guide, chief information, data, and security officers will learn how to effectively implement and scale data governance throughout their organizations. You'll explore how to create a strategy and tooling to support the democratization of data and governance principles. Through good data governance, you can inspire customer trust, enable your organization to extract more value from data, and generate more-competitive offerings and improvements in customer experience. This book shows you how. Enable auditable legal and regulatory compliance with defined and agreed-upon data policies Employ better risk management Establish control and maintain visibility into your company's data assets, providing a competitive advantage Drive top-line revenue and cost savings when developing new products and services Implement your organization's people, processes, and tools to operationalize data trustworthiness
    Note: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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  • 10
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (622 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: The Rust programming language offers the rare and valuable combination of statically verified memory safety and low-level control. Imagine C++ but without dangling pointers, null pointer dereferences, leaks, or buffer overruns. With this practical guide, systems programmers will understand Rust's rules clearly and economically. You'll learn how to express programs that Rust can prove are free of a broad class of common errors. Rust brings the benefits of an expressive modern type system to systems programming. Authors Jim Blandy and Jason Orendorff demonstrate how Rust's features put programmers in control over memory consumption and processor use, combining predictable performance with memory safety and trustworthy concurrency. You'll learn: How to write fast, safe, concurrent programs in Rust Rust's rules for managing memory efficiently, including ownership, borrowing, moves, and lifetimes How to design interfaces that fit well into the Rust ecosystem Rust's all-purpose Cargo tool for building, testing, and managing Rust packages High-level features like traits, generics, closures, and iterators that make Rust productive and flexible
    Note: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
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  • 11
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (84 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream processing applications is easy and fun. This practical guide explores the world of real-time data systems through the lens of these popular technologies and explains important stream processing concepts against a backdrop of interesting business problems. Mitch Seymour, senior data systems engineer at Mailchimp, introduces you to both Kafka Streams and ksqlDB so that you can choose the best tool for each unique stream processing project. Non-Java developers will find the ksqlDB path to be an especially gentle introduction to stream processing. In this book, you'll learn: Basic and advanced uses of Kafka Streams and ksqlDB How to transform, enrich, and process event streams How to build both stateless and stateful stream processing applications The different notions of time and the role it plays in stream processing How to to build event-driven microservices on top of continuous event streams Features, operational characteristics, deployment patterns, and configuration tips for both technologies
    Note: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
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  • 12
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (400 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Distributed systems have become more fine-grained as organizations shift from code-heavy monolithic applications to smaller, self-contained microservices. But developing these systems brings its own set of problems. With lots of examples and practical advice, this expanded second edition takes a holistic view of the topics system architects and administrators must consider when building, managing, and evolving microservices architectures. Author Sam Newman provides you with a firm grounding in the concepts while diving into the latest solutions for modeling, integrating, testing, deploying, and monitoring your own autonomous services. Through real-world examples, you'll learn how organizations worldwide are getting the most out of these architectures. Microservices technologies are moving quickly. This book brings you up to speed. Get new information on user interfaces, container orchestration, and serverless Use microservices to align system design with your organization's goals Explore options for integrating a service with the rest of your system Take an incremental approach when splitting monolithic codebases Deploy individual microservices through continuous integration Examine the complexities of testing and monitoring distributed services Manage security with expanded content around user-to-service and service-to-service models Understand the challenges of scaling microservices architectures
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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  • 13
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (200 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language-in fact, it's the top feature requested. What makes this combination so compelling? In this hands-on guide, Felix Zumstein-creator of xlwings, a popular open source package that allows the automation of Excel with Python-shows experienced Excel users how to integrate these two worlds efficiently. Excel has added quite a few new capabilities over the past couple of years, but its automation language, VBA, stopped evolving a long time ago. Many Excel power users have already adopted Python for their daily automation tasks. This guide gets you started. Use Python without previous programming knowledge Get started with modern tools, including Jupyter notebooks and Visual Studio Code Use pandas to acquire, clean, and analyze data and replace typical Excel calculations Automate tedious tasks like consolidation of Excel workbooks and production of Excel reports Use xlwings to build interactive Excel tools that use Python as a calculation engine Connect Excel to databases and CSV files and fetch data from the internet using Python code Write unit tests in Python to build solid spreadsheets
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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  • 14
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (64 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Save time and trouble building object-oriented, functional, and concurrent applications with Scala 3. The latest edition of this comprehensive cookbook is packed with more than 250 ready-to-use recipes and 700 code examples to help you solve the most common problems when working with Scala and its popular libraries. Whether you're working on web, big data, or distributed applications, this cookbook provides recipes based on real-world scenarios for experienced Scala developers and for programmers just learning to use this JVM language. Author Alvin Alexander includes practical solutions from his experience using Scala for highly scalable applications that support concurrency and distribution. Recipes cover: Strings, numbers, and control structures Classes, methods, objects, traits, packaging, and imports Functional programming in a variety of situations Building Scala applications with sbt Collections covering Scala's wealth of classes and methods Actors and concurrency List, array, map, set, and more Files, processes, and command-line tasks Web services and interacting with Java Databases and persistence, data types and idioms
    Note: Online resource; Title from title page (viewed January 25, 2021) , Mode of access: World Wide Web.
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  • 15
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (74 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With over 75 million downloads per month, Spring Boot is the most widely used Java framework available. Its ease and power have revolutionized application development from monoliths to microservices. Yet Spring Boot's simplicity can also be confusing. How do developers learn enough to be productive immediately? This practical book shows you how to use this framework to write successful mission-critical applications. Mark Heckler from VMware, the company behind Spring, guides you through Spring Boot's architecture and approach, along with topics such as debugging, testing, and deployment. If you want to develop cloud native Java or Kotlin applications with Spring Boot rapidly and effectively-using reactive programming, building APIs, and creating database access of all kinds-this book is for you. Learn how Spring Boot simplifies cloud native application development and deployment Build reactive applications and extend communication across the network boundary to create distributed systems Understand how Spring Boot's architecture and approach increases developer productivity and application portability Deploy Spring Boot applications for production workloads rapidly and reliably Monitor application and system health for optimal performance and reliability Debug, test, and secure cloud-based applications painlessly
    Note: Online resource; Title from title page (viewed February 25, 2021) , Mode of access: World Wide Web.
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  • 16
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (222 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Hit the ground running with React, the open-source technology from Facebook for building rich web applications fast. With the second edition of this practical guide, Stoyan Stefanov-designer of the YSlow 2.0 performance tool-shows you how to build React components and organize them into maintainable, large-scale apps. If you're familiar with basic JavaScript syntax, you're ready to get started. Through the course of the book, web developers and programmers will build a complete custom app that lets you store data on the client. You'll quickly learn why some developers consider React the key to the web app development puzzle.
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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  • 17
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (136 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Node.js is used by many companies for building performant backend services without sacrificing developer efficiency. Thanks to its approachable API and familiar syntax, Node.js is loved by engineers and used by startups and Fortune 500s alike. Backed by the world's largest package repository, its enterprise foothold is only expected to grow. In this hands-on guide, author Thomas Hunter II proves that Node.js is just as capable as traditional enterprise platforms for building services that are observable, scalable, and resilient. Intermediate to advanced Node.js developers will find themselves integrating application code with a breadth of tooling from each layer of a modern service stack. Learn why running redundant copies of the same Node.js service is necessary Know which protocol to choose, depending on the situation Fine-tune your application containers for use in production Track down errors in a distributed setting to determine which service is at fault Simplify app code and increase performance by offloading work to a reverse proxy Build dashboards to monitor service health and throughput Find out why so many different tools are required when operating in an enterprise environment
    Note: Online resource; Title from title page (viewed April 25, 2021) , Mode of access: World Wide Web.
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  • 18
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (350 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Financial trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem of powerful packages. In this practical book, author Yves Hilpisch shows students, academics, and practitioners how to use Python in the fascinating field of algorithmic trading. You'll learn several ways to apply Python to different aspects of algorithmic trading, such as backtesting trading strategies and interacting with online trading platforms. Some of the biggest buy- and sell-side institutions make heavy use of Python. By exploring options for systematically building and deploying automated algorithmic trading strategies, this book will help you level the playing field. Set up a proper Python environment for algorithmic trading Learn how to retrieve financial data from public and proprietary data sources Explore vectorization for financial analytics with NumPy and pandas Master vectorized backtesting of different algorithmic trading strategies Generate market predictions by using machine learning and deep learning Tackle real-time processing of streaming data with socket programming tools Implement automated algorithmic trading strategies with the OANDA and FXCM platforms
    Note: Online resource; Title from title page (viewed January 25, 2021) , Mode of access: World Wide Web.
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  • 19
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (158 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The design patterns in this book capture best practices and solutions to recurring problems in machine learning. Authors Valliappa Lakshmanan, Sara Robinson, and Michael Munn catalog the first tried-and-proven methods to help engineers tackle problems that frequently crop up during the ML process. These design patterns codify the experience of hundreds of experts into advice you can easily follow. The authors, three Google Cloud engineers, describe 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, flexibility, explainability, and fairness. Each pattern includes a description of the problem, a variety of potential solutions, and recommendations for choosing the most appropriate remedy for your situation. You'll learn how to: Identify and mitigate common challenges when training, evaluating, and deploying ML models Represent data for different ML model types, including embeddings, feature crosses, and more Choose the right model type for specific problems Build a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuning Deploy scalable ML systems that you can retrain and update to reflect new data Interpret model predictions for stakeholders and ensure that models are treating users fairly
    Note: Online resource; Title from title page (viewed February 25, 2021) , Mode of access: World Wide Web.
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  • 20
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (76 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Every enterprise application creates data, whether it consists of log messages, metrics, user activity, outgoing messages, or something else. Moving all of this data is just as important as the data itself. This book's updated second edition shows application architects, developers, and production engineers new to the Kafka open source streaming platform how to handle real-time data feeds. Additional chapters cover Kafka's AdminClient API, new security features, and tooling changes. Engineers from Confluent and LinkedIn responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream processing applications with this platform. Through detailed examples, you'll learn Kafka's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. You'll examine: How publish-subscribe messaging fits in the big data ecosystem Kafka producers and consumers for writing and reading messages Patterns and use-case requirements to ensure reliable data delivery Best practices for building data pipelines and applications with Kafka How to perform monitoring, tuning, and maintenance tasks with Kafka in production The most critical metrics among Kafka's operational measurements Kafka's delivery capabilities for stream processing systems
    Note: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
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  • 21
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (122 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you use data to make critical business decisions, this book is for you. Whether you're a data analyst, research scientist, data engineer, ML engineer, data scientist, application developer, or systems developer, this guide helps you broaden your understanding of the modern data science stack, create your own machine learning pipelines, and deploy them to applications at production scale. The AWS data science stack unifies data science, data engineering, and application development to help you level up your skills beyond your current role. Authors Antje Barth and Chris Fregly show you how to build your own ML pipelines from existing APIs, submit them to the cloud, and integrate results into your application in minutes instead of days. Innovate quickly and save money with AWS's on-demand, serverless, and cloud-managed services Implement open source technologies such as Kubeflow, Kubernetes, TensorFlow, and Apache Spark on AWS Build and deploy an end-to-end, continuous ML pipeline with the AWS data science stack Perform advanced analytics on at-rest and streaming data with AWS and Spark Integrate streaming data into your ML pipeline for continuous delivery of ML models using AWS and Apache Kafka
    Note: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
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  • 22
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (68 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Most of the data that companies collect is related to customer behaviors, such as clicks on a website or purchases in a supermarket. But data science algorithms and predictive analytics tools aren't that specific, so customer data is treated the same way as, for example, astronomical or genomic data. This practical guide introduces powerful methods for behavioral data analysis that you're probably not aware of. Advanced experimental design will help you get the most out of your A/B tests, while causal diagrams will allow you to tease out causality from correlation even when you can't run experiments. Written in an accessible style for data scientists, business analysts, and behavioral scientists, this practical book provides complete examples and exercises in R and Python to help you gain more insight from your data-immediately. Understand the specifics of behavioral data Explore the differences between measurement and prediction Learn how to clean and prepare behavioral data Design and analyze experiments to drive optimal business decisions Use behavioral data to understand and measure cause and effect Segment customers in a transparent and insightful way
    Note: Online resource; Title from title page (viewed June 25, 2021) , Mode of access: World Wide Web.
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  • 23
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (41 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Selling your CTO on the merits of OpenShift and Kubernetes is only the beginning. When it comes to operating and scaling OpenShift, you need to understand how to manage and expose resources to application teams and how to continuously deliver changes to applications running in these environments. With this practical book, new and experienced developers and operators will learn specific techniques and examples for operationalizing OpenShift and Kubernetes in the enterprise. Industry experts Michael Elder, Jake Kitchener, and Brad Topol show you how to run OpenShift and Kubernetes in production and deliver your applications to a highly available, secure, and scalable platform. You'll learn how to build a strong foundation in advanced cluster operational topics, such as tenancy management, scheduling and capacity management, cost management, continuous delivery, and more. This book shows you how to: Manage multiple teams in their use of OpenShift and Kubernetes Promote the efficient use of data center resources Deliver highly available applications and services Manage application tenancy throughout the enterprise Provide multicluster management and high availability Apply continuous updates to OpenShift and Kubernetes Devise and deliver disaster recovery strategies
    Note: Online resource; Title from title page (viewed December 25, 2021) , Mode of access: World Wide Web.
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    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (48 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Go is rapidly becoming the preferred language for building web services. There are plenty of tutorials available that teach Go's syntax to developers with experience in other programming languages. But tutorials aren't enough. They don't teach Go's idioms, so developers end up recreating patterns that don't make sense in a Go context. This practical guide provides the essential background you need to write clear and idiomatic Go. No matter your level of experience, you'll learn how to think like a Go developer. Author Jon Bodner explains the rationale behind the Go team's design decisions and reveals design patterns that experienced Go developers have adopted. You'll learn how to structure your project and choose the proper tools and libraries to create successful software. Learn how to write idiomatic code in Go and design a Go project Understand the reasons for the design decisions in Go Set up a Go development environment for a solo developer or team Explore which libraries to select when solving problems Learn how Go's features allow the language to run efficiently Know which Go features you should use sparingly, or not at all
    Note: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
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  • 25
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (81 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, and Tableau Public. You'll also gradually learn how to edit open source code templates like Chart.js, Highcharts, and Leaflet on GitHub. Hands-On Data Visualization for All takes you step-by-step through tutorials, real-world examples, and online resources. This hands-on resource is ideal for students, nonprofit organizations, small business owners, local governments, journalists, academics, and anyone who wants to take data out of spreadsheets and turn it into lively interactive stories. No coding experience is required. Build interactive charts and maps and embed them in your website Understand the principles for designing effective charts and maps Learn key data visualization concepts to help you choose the right tools Convert and transform tabular and spatial data to tell your data story Edit and host Chart.js, Highcharts, and Leaflet map code templates on GitHub Learn how to detect bias in charts and maps produced by others
    Note: Online resource; Title from title page (viewed April 25, 2021) , Mode of access: World Wide Web.
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  • 26
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (26 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Instead, many of these ML models do nothing more than provide static insights in a slideshow. If they aren't truly operational, these models can't possibly do what you've trained them to do. This book introduces practical concepts to help data scientists and application engineers operationalize ML models to drive real business change. Through lessons based on numerous projects around the world, six experts in data analytics provide an applied four-step approach-Build, Manage, Deploy and Integrate, and Monitor-for creating ML-infused applications within your organization. You'll learn how to: Fulfill data science value by reducing friction throughout ML pipelines and workflows Constantly refine ML models through retraining, periodic tuning, and even complete remodeling to ensure long-term accuracy Design the ML Ops lifecycle to ensure that people-facing models are unbiased, fair, and explainable Operationalize ML models not only for pipeline deployment but also for external business systems that are more complex and less standardized Put the four-step Build, Manage, Deploy and Integrate, and Monitor approach into action
    Note: Online resource; Title from title page (viewed February 25, 2021) , Mode of access: World Wide Web.
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  • 27
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800568846
    Language: English
    Pages: 1 online resource (536 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore a modern approach to visualizing data with Python and transform large real-world datasets into expressive visual graphics using this beginner-friendly workshop Key Features Discover the essential tools and methods of data visualization Learn to use standard Python plotting libraries such as Matplotlib and Seaborn Gain insights into the visualization techniques of big companies Book Description Do you want to transform data into captivating images? Do you want to make it easy for your audience to process and understand the patterns, trends, and relationships hidden within your data? The Data Visualization Workshop will guide you through the world of data visualization and help you to unlock simple secrets for transforming data into meaningful visuals with the help of exciting exercises and activities. Starting with an introduction to data visualization, this book shows you how to first prepare raw data for visualization using NumPy and pandas operations. As you progress, you'll use plotting techniques, such as comparison and distribution, to identify relationships and similarities between datasets. You'll then work through practical exercises to simplify the process of creating visualizations using Python plotting libraries such as Matplotlib and Seaborn. If you've ever wondered how popular companies like Uber and Airbnb use geoplotlib for geographical visualizations, this book has got you covered, helping you analyze and understand the process effectively. Finally, you'll use the Bokeh library to create dynamic visualizations that can be integrated into any web page. By the end of this workshop, you'll have learned how to present engaging mission-critical insights by creating impactful visualizations with real-world data. What you will learn Understand the importance of data visualization in data science Implement NumPy and pandas operations on real-life datasets Create captivating data visualizations using plotting libraries Use advanced techniques to plot geospatial data on a map Integrate interactive visualizations to a webpage Visualize stock prices with Bokeh and analyze Airbnb data with Matplotlib Who this book is for The Data Visualization Workshop is for beginners who want to learn data visualization, as well as developers and data scientists who are looking to enrich their practical data science skills. Prior knowledge of data analytics, data science, and visualization is not mandatory. Knowledge of Python basics and high-scho...
    Note: Online resource; Title from title page (viewed July 28, 2020) , Mode of access: World Wide Web.
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (542 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: A handy, on-the-job reference filled with real-life scenarios to help you achieve the Certified Business Analysis Professional (CBAP®) and Certification of Capability in Business Analysis (CCBA®) certifications Key Features Gain expert guidance from Esta Lessing, a CBAP® trainer with over 18 years of business analysis experience Understand BABOK® knowledge areas and tasks through examples and real-world scenarios Learn business analyst skills such as stakeholder engagement, strategy analysis, and requirement elicitation Book Description Certified Business Analysis Professional (CBAP®) is a certification from the International Institute of Business Analysis (IIBA®) for professionals with extensive experience in business analysis. The CCBA® and CBAP® validates your proficiency in various aspects of business analysis and your ability to tackle challenging projects, work effectively with stakeholders, and identify and deliver business value. You'll start by learning about the benefits of CCBA® and CBAP® certifications for your career progression before focussing on the six core knowledge areas explained thoroughly in each chapter. These include topics such as business analysis planning and monitoring, elicitation and collaboration, requirements life cycle management, strategy analysis, requirements analysis, and design definition as well as solution evaluation. The book includes the essential underlying competencies and techniques to ensure a complete understanding of the BABOK® v3 guide content. Each chapter delves into the essential concepts and business analysis task considerations utilizing practical examples. Finally, you'll assess your knowledge through mock exam questions based on real-world case studies. By the end of this book, you'll have gained the business analysis skills needed to prepare for the certification exams and to advance in your career. What you will learn Assess the IIBA® requirements for applying for the CCBA® and CBAP® exams Navigate through the sections of the BABOK® v3 Guide Understand business analysis concepts, practices and analysis techniques Be able to relate concepts, tasks, and techniques to real-world practical situations Understand the application of 50 practical techniques concerning the BABOK® v3 Guide knowledge area tasks Identify the challenges that could hinder a business analyst from delivering value and effective business solutions Who this book is for This book is for business analysts, business consult...
    Note: Online resource; Title from title page (viewed May 22, 2020) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 33 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: This three-part series of half-day online events gives attendees an overarching perspective of software development from which to make decisions that strengthen and grow companies and industries, a deep knowledge of key open source technologies to make it happen, and a community in which both they and their companies can thrive. In Part 1, Live Coding-Go, Rust, and Python, we wanted to get deeper into actual coding, and one way to do that was to outlaw slides. That's right, these sessions all incorporate live-coding. These four sessions from Ellen Körbes, John Walicki, Nathan Stocks, and Reuven Lerner will walk you through coding best practices and new ways of getting the most out of languages like Python, Go, and Rust. This event is sponsored by IBM, and features spotlights on Kode With Klossy and the Eclipse Foundation. About the presenters: Rachel Roumeliotis is vice president of content strategy at O'Reilly, where she leads an editorial team that covers a wide variety of programming topics ranging from full stack to open source in the enterprise to emerging programming languages. She's been a programming chair for the O'Reilly OSCON, Fluent, Strata, Software Architecture, and Security Conferences. She's currently the programming chair for the OSCON and Strata Data & AI Superstream Series on O'Reilly online learning. She's been working in technical publishing for 10 years, acquiring content in many areas including mobile programming, UX, computer security, and AI. Kelsey Hightower has worn every hat possible throughout his career in tech and enjoys leadership roles focused on making things happen and shipping software. Kelsey is a strong open source advocate focused on building simple tools that make people smile. When he isn't slinging Go code, you can catch him giving technical workshops covering everything from programming to system administration. Ellen Körbes ran DevRel at both Tilt and Garden-two of the very few companies 100% focused on the development experience side of Kubernetes. They got their start building Kubernetes CLI tooling under SIG-CLI. They've since spoken about Go and Kubernetes at many world-famous events. Tara Tran is the manager of recruitment and instruction, and Mehreen Butt is an instructor at Kode With Klossy. John Walicki is the CTO for edge/IoT advocacy in the Developer Ecosystem Group within the IBM Cognitive Applications Group, where he helps developers create custom IoT and embedded Linux solutions for thei...
    Note: Online resource; Title from title screen (viewed June 24, 2020) , Mode of access: World Wide Web.
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781839213953
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 42 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Step up your network analysis and network forensics skills with Wireshark About This Video Understand advanced TCP/IP network protocol mechanics. Use Wireshark to help troubleshoot dropped packets, latency issues, and malicious activity on your network. Take advantage of PyShark scripts to manage network analysis and perform exploratory data analysis at scale. Use network forensics for security and pre-emptive contingency-planning programming to include remote evidence collection, investigation, analysis, and detailed forensic reporting. In Detail Mastering Wireshark 3 (2nd Edition) will help you gain expertise in securing your network. As you progress through the course, you will discover different and important ways to create, use, capture, and display filters. Learn to master Wireshark's features, analyze different layers of your network protocol, and search for abnormality in your network traffic. The course focuses on packet analysis for security tasks, command-line utilities, and tools that manage trace files. You will delve into analyzing applications aimed primarily at web browsing; master commands that can also be set up and configured to run from the command prompt; and learn to use the new feature in Cisco routers and switches to capture packets directly from devices and mirror (SPAN) ports. Lastly, you'll learn to expand upon the capabilities and functions of Wireshark plugins and APIs and build on your Python skills by using PyShark to modify how Wireshark captures and filters packets. By the end of this course, you'll have learned to customize Wireshark in-depth for network security analysis using commonly used protocols and to configure it effectively for troubleshooting and daily monitoring purposes.
    Note: Online resource; Title from title screen (viewed June 23, 2020) , Mode of access: World Wide Web.
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838828882
    Language: English
    Pages: 1 online resource (252 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn from Ian Neil, one of the world's top CompTIA Security+ trainers in the world, and enhance your analytical skills to pass the CompTIA Security+ SY0-501 exam Key Features Become a pro at answering questions from all six of the domains of the SY0-501 exam Learn about cryptography algorithms, security policies, and their real-world implementations Solve practice tests that complement the official CompTIA Security+ certification exam Book Description CompTIA Security+ is a core security certification that will validate your baseline skills for a career in cybersecurity. Passing this exam will not only help you identify security incidents but will also equip you to resolve them efficiently. This book builds on the popular CompTIA Security+ Certification Guide, which mirrors the SY0-501 exam pattern. This practice test-based guide covers all six domains of the Security+ SY0-501 exam: threats, attacks, and vulnerabilities; technologies and tools; architecture and design; identity and access management; cryptography and PKI; and risk management. You'll take six mock tests designed as per the official Security+ certification exam pattern, each covering significant aspects from an examination point of view. For each domain, the book provides a dedicated cheat sheet that includes important concepts covered in the test. You can even time your tests to simulate the actual exam. These tests will help you identify gaps in your knowledge and discover answers to tricky exam questions. By the end of this book, you'll have developed and enhanced the skills necessary to pass the official CompTIA Security+ exam. What you will learn Understand how prepared you are for the CompTIA Security+ certification Identify different types of security threats, attacks, and vulnerabilities Explore identity and access management in an enterprise environment Protect your business tools and platforms from cyberattacks Create and maintain a secure network Understand how you can protect your data Discover encryption techniques required to protect against various cyber threat scenarios Who this book is for If you are a security administrator, a system or network administrator, or anyone who wants to pass the CompTIA Security+ exam, this book is for you. This book is an ideal resource for students who want a career or degree in cybersecurity or are studying for the CISSP certification exam.
    Note: Online resource; Title from title page (viewed January 10, 2020) , Mode of access: World Wide Web.
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  • 32
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (47 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: While it may be hard to believe, WebAssembly is the very first new language and browser runtime since the introduction of JavaScript 25 years ago that's universally supported. And just like its predecessor, this young technology holds a lot of promise. Colin Eberhardt shares everything you need to get started with WebAssembly-including history and context, an introduction to modules, execution, runtime, and practical instructions for using it. He'll also take a look at what the future might hold, from serving as a runtime for blockchain (or standing on its own in that right) to serverless computing uses and much more. Delve into the beginnings of JavaScript and discover how WebAssembly differs Learn why WebAssembly matters and how to use it Find out how others have successfully applied this technology Explore WebAssembly in practice, including computer aided design, PDF rendering, 3D visualization, and more See what's ahead in terms of features and uses beyond the browser
    Note: Online resource; Title from title page (viewed January 25, 2020) , Mode of access: World Wide Web.
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (48 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Design is no longer a value-add that only some companies choose to afford. In today's marketplace it's a valuable strategic contributor for every organization. But getting the most value out of a design practice requires that these same organizations create an intentional operational practice-design operations (DesignOps). This comprehensive report provides an introduction to DesignOps along with practical patterns for using it within your organization. Author Dave Malouf takes you through DesignOps concepts, components, methods, and tools and shows you how to put them to work. Operationalize your design practices and demonstrate and amplify the value of design for your company and customers alike. Explore frameworks, including the DesignOps Canvas and Projects, Process, People, to help you better understand DesignOps practices and create your own Understand the pieces that make up DesignOps, from human resources to delivery management, culture, and more Learn the role Agile can play in DesignOps Dive into common metrics to help determine the health of your design organization Discover how to assess the effectiveness of design operations in meeting goals
    Note: Online resource; Title from title page (viewed February 25, 2020) , Mode of access: World Wide Web.
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800208797
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 22 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: UX Process for Beginners from User Interviews to Personas, User stories, Information architecture to Usability testing About This Video Define product scope and feature matrix Understand how to drive user and stakeholder interviews Master UX Process in a simplified way In Detail There are hundreds of elements involved in a UX Design process and each design firm uses its own version of the implementation. It, therefore, leads to confusion among the beginners about where to start the user experience process. This project-based course starts off by introducing to you the project that you will be working on throughout the course and understand the concepts as you progress. Your target will be to create and improve the user experience of an e-commerce startup called Frankland. You will learn to determine the starting point among the pool of different aspects to be covered including user interviews, personas, customer journey maps, and defining the scope of the product. By the end of this course, you'll have understood the complete UX process and its significance in the website and mobile app development.
    Note: Online resource; Title from title screen (viewed January 31, 2020) , Mode of access: World Wide Web.
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  • 35
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (818 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Cut through the noise and get real results with a step-by-step approach to data science Key Features Ideal for the data science beginner who is getting started for the first time A data science tutorial with step-by-step exercises and activities that help build key skills Structured to let you progress at your own pace, on your own terms Use your physical print copy to redeem free access to the online interactive edition Book Description You already know you want to learn data science, and a smarter way to learn data science is to learn by doing. The Data Science Workshop focuses on building up your practical skills so that you can understand how to develop simple machine learning models in Python or even build an advanced model for detecting potential bank frauds with effective modern data science. You'll learn from real examples that lead to real results. Throughout The Data Science Workshop, you'll take an engaging step-by-step approach to understanding data science. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend training a model using sci-kit learn. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding. Every physical print copy of The Data Science Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your data science book. Fast-paced and direct, The Data Science Workshop is the ideal companion for data science beginners. You'll learn about machine learning algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead. What you will learn Find out the key differences between supervised and unsupervised learning Manipulate and analyze data using scikit-learn and pandas libraries Learn about different algorithms such as regression, classification, and clustering Discover advanced techniques to improve model ensembling and accuracy Speed up the process of ...
    Note: Online resource; Title from title page (viewed January 29, 2020) , Mode of access: World Wide Web.
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  • 36
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (300 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: In a microservices architecture, the whole is indeed greater than the sum of its parts. But in practice, individual microservices can inadvertently impact others and alter the end user experience. Effective microservices architectures require standardization on an organizational level with the help of a platform engineering team. This practical book provides a series of progressive steps that platform engineers can apply technically and organizationally to achieve highly resilient Java applications. Author Jon Schneider covers many effective SRE practices from companies leading the way in microservices adoption. You'll examine several patterns that were created after much trial and error in recent years, complete with Java code examples. Chapters are organized according to specific patterns, including: Application Metrics: Availability, debuggability, and Micrometer Debugging with observability: Three pillars of observability; components of a distributed trace Charting and alerting: Building effective charts; KPIs for Java microservices Safe multi-cloud delivery: Automated canary analysis Source code observability: The problem of dependencies; API utilization Traffic management: Concurrency of systems; platform, gateway, and client-side load balancing
    Note: Online resource; Title from title page (viewed December 25, 2020) , Mode of access: World Wide Web.
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 60 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Cyberattacks and breaches are at an all-time high, and the threat of cybersecurity litigation is rising dramatically. But many organizations are still inadequately prepared. The future of technology will depend upon erecting meaningful protections and reducing risk for your users in order to maximize your products' social and economic value. However, for this to happen, a number of key issues must be addressed. In this Spotlight on Cloud , expert Bill Mew discusses four systemic cybersecurity and privacy issues, and addresses how to prepare for a worst-case scenario. Recorded on October 3, 2019. See the original event page for resources for further learning or watch recordings of other past events . O'Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts' unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Cloud , you'll learn about the complex, ever-evolving world of the cloud. You'll discover how successful companies have adopted and embraced this massive network of shared information and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed February 28, 2020) , Mode of access: World Wide Web.
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (432 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Solve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandas Key Features Use powerful Python libraries such as pandas, NumPy, and SciPy to analyze your financial data Explore unique recipes for financial data analysis and processing with Python Estimate popular financial models such as CAPM and GARCH using a problem-solution approach Book Description Python is one of the most popular programming languages used in the financial industry, with a huge set of accompanying libraries. In this book, you'll cover different ways of downloading financial data and preparing it for modeling. You'll calculate popular indicators used in technical analysis, such as Bollinger Bands, MACD, RSI, and backtest automatic trading strategies. Next, you'll cover time series analysis and models, such as exponential smoothing, ARIMA, and GARCH (including multivariate specifications), before exploring the popular CAPM and the Fama-French three-factor model. You'll then discover how to optimize asset allocation and use Monte Carlo simulations for tasks such as calculating the price of American options and estimating the Value at Risk (VaR). In later chapters, you'll work through an entire data science project in the financial domain. You'll also learn how to solve the credit card fraud and default problems using advanced classifiers such as random forest, XGBoost, LightGBM, and stacked models. You'll then be able to tune the hyperparameters of the models and handle class imbalance. Finally, you'll focus on learning how to use deep learning (PyTorch) for approaching financial tasks. By the end of this book, you'll have learned how to effectively analyze financial data using a recipe-based approach. What you will learn Download and preprocess financial data from different sources Backtest the performance of automatic trading strategies in a real-world setting Estimate financial econometrics models in Python and interpret their results Use Monte Carlo simulations for a variety of tasks such as derivatives valuation and risk assessment Improve the performance of financial models with the latest Python libraries Apply machine learning and deep learning techniques to solve different financial problems Understand the different approaches used to model financial time series data Who this book is for This book is for financial analysts, data analysts, and Python developers who want to learn how to implement a broad range of tasks in t...
    Note: Online resource; Title from title page (viewed January 31, 2020) , Mode of access: World Wide Web.
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (62 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Fairness is an increasingly important topic as machine learning and AI more generally take over the world. While this is an active area of research, many realistic best practices are emerging at all steps along the data pipeline, from data selection and preprocessing to blackbox model audits. This book will guide you through the technical, legal, and ethical aspects of making your code fair and secure while highlighting cutting edge academic research and ongoing legal developments related to fairness and algorithms. There is mounting evidence that the widespread deployment of machine learning and artificial intelligence in business and government is reproducing the same biases we are trying to fight in the real world. For this reason, fairness is an increasingly important consideration for the data scientist. Yet discussions of what fairness means in terms of actual code are few and far between. This code will show you how to code fairly as well as cover basic concerns related to data security and privacy from a fairness perspective.
    Note: Online resource; Title from title page (viewed September 25, 2020) , Mode of access: World Wide Web.
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (576 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: New edition of the bestselling guide to mastering Python Networking, updated to Python 3 and including the latest on network data analysis, Cloud Networking, Ansible 2.8, and new libraries Key Features Explore the power of Python libraries to tackle difficult network problems efficiently and effectively, including pyATS, Nornir, and Ansible 2.8 Use Python and Ansible for DevOps, network device automation, DevOps, and software-defined networking Become an expert in implementing advanced network-related tasks with Python 3 Book Description Networks in your infrastructure set the foundation for how your application can be deployed, maintained, and serviced. Python is the ideal language for network engineers to explore tools that were previously available to systems engineers and application developers. In Mastering Python Networking, Third edition, you'll embark on a Python-based journey to transition from traditional network engineers to network developers ready for the next-generation of networks. This new edition is completely revised and updated to work with Python 3. In addition to new chapters on network data analysis with ELK stack (Elasticsearch, Logstash, Kibana, and Beats) and Azure Cloud Networking, it includes updates on using newer libraries such as pyATS and Nornir, as well as Ansible 2.8. Each chapter is updated with the latest libraries with working examples to ensure compatibility and understanding of the concepts. Starting with a basic overview of Python, the book teaches you how it can interact with both legacy and API-enabled network devices. You will learn to leverage high-level Python packages and frameworks to perform network automation tasks, monitoring, management, and enhanced network security followed by Azure and AWS Cloud networking. Finally, you will use Jenkins for continuous integration as well as testing tools to verify your network. What you will learn Use Python libraries to interact with your network Integrate Ansible 2.8 using Python to control Cisco, Juniper, and Arista network devices Leverage existing Flask web frameworks to construct high-level APIs Learn how to build virtual networks in the AWS & Azure Cloud Learn how to use Elastic Stack for network data analysis Understand how Jenkins can be used to automatically deploy changes in your network Use PyTest and Unittest for Test-Driven Network Development in networking engineering with Python Who this book is for Mastering Python Networking, Third edition ...
    Note: Online resource; Title from title page (viewed January 30, 2020) , Mode of access: World Wide Web.
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  • 41
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800203921
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 17 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Get a firm grip on Microsoft Azure through real-world exercises About This Video Build a solid foundation of cloud concepts and Azure architectural components Learn through Azure real-world example to clear Az-900 exam Explore real-world small projects and practice labs In Detail The primary reason for Microsoft Azure's immense popularity is that it supports a wide range of operating systems, tools, databases, programming languages, and, devices. This course starts off by introducing to you the Microsoft's platform for the cloud. You will then explore Azure web services and storage. In the concluding sections, you will deploy a Windows Azure cloud service and implement advanced cloud service functionalities. By the end of this course, you'll be become skilled enough to confidently operate Microsoft Azure to achieve business objectives. This course can be taken by absolute beginners including candidates with non-technical backgrounds, such as those involved in selling or purchasing cloud-based solutions and services, or who have some involvement with cloud-based solutions and services, as well as those with a technical background who want to brush up their fundamentals around cloud services and Azure
    Note: Online resource; Title from title screen (viewed January 31, 2020) , Mode of access: World Wide Web.
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  • 42
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (532 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Design and develop high-performance, reusable, and maintainable applications using traditional and modern Julia patterns with this comprehensive guide Key Features Explore useful design patterns along with object-oriented programming in Julia 1.0 Implement macros and metaprogramming techniques to make your code faster, concise, and efficient Develop the skills necessary to implement design patterns for creating robust and maintainable applications Book Description Design patterns are fundamental techniques for developing reusable and maintainable code. They provide a set of proven solutions that allow developers to solve problems in software development quickly. This book will demonstrate how to leverage design patterns with real-world applications. Starting with an overview of design patterns and best practices in application design, you'll learn about some of the most fundamental Julia features such as modules, data types, functions/interfaces, and metaprogramming. You'll then get to grips with the modern Julia design patterns for building large-scale applications with a focus on performance, reusability, robustness, and maintainability. The book also covers anti-patterns and how to avoid common mistakes and pitfalls in development. You'll see how traditional object-oriented patterns can be implemented differently and more effectively in Julia. Finally, you'll explore various use cases and examples, such as how expert Julia developers use design patterns in their open source packages. By the end of this Julia programming book, you'll have learned methods to improve software design, extensibility, and reusability, and be able to use design patterns efficiently to overcome common challenges in software development. What you will learn Master the Julia language features that are key to developing large-scale software applications Discover design patterns to improve overall application architecture and design Develop reusable programs that are modular, extendable, performant, and easy to maintain Weigh up the pros and cons of using different design patterns for use cases Explore methods for transitioning from object-oriented programming to using equivalent or more advanced Julia techniques Who this book is for This book is for beginner to intermediate-level Julia programmers who want to enhance their skills in designing and developing large-scale applications.
    Note: Online resource; Title from title page (viewed January 17, 2020) , Mode of access: World Wide Web.
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  • 43
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (202 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get a comprehensive understanding of gRPC fundamentals through real-world examples. With this practical guide, you'll learn how this high-performance interprocess communication protocol is capable of connecting polyglot services in microservices architecture, while providing a rich framework for defining service contracts and data types. Complete with hands-on examples written in Go, Java, Node, and Python, this book also covers the essential techniques and best practices to use gRPC in production systems. Authors Kasun Indrasiri and Danesh Kuruppu discuss the importance of gRPC in the context of microservices development.
    Note: Online resource; Title from title page (viewed January 30, 2020) , Mode of access: World Wide Web.
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  • 44
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (448 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Build your organization's cyber defense system by effectively implementing digital forensics and incident management techniques Key Features Create a solid incident response framework and manage cyber incidents effectively Perform malware analysis for effective incident response Explore real-life scenarios that effectively use threat intelligence and modeling techniques Book Description An understanding of how digital forensics integrates with the overall response to cybersecurity incidents is key to securing your organization's infrastructure from attacks. This updated second edition will help you perform cutting-edge digital forensic activities and incident response. After focusing on the fundamentals of incident response that are critical to any information security team, you'll move on to exploring the incident response framework. From understanding its importance to creating a swift and effective response to security incidents, the book will guide you with the help of useful examples. You'll later get up to speed with digital forensic techniques, from acquiring evidence and examining volatile memory through to hard drive examination and network-based evidence. As you progress, you'll discover the role that threat intelligence plays in the incident response process. You'll also learn how to prepare an incident response report that documents the findings of your analysis. Finally, in addition to various incident response activities, the book will address malware analysis, and demonstrate how you can proactively use your digital forensic skills in threat hunting. By the end of this book, you'll have learned how to efficiently investigate and report unwanted security breaches and incidents in your organization. What you will learn Create and deploy an incident response capability within your own organization Perform proper evidence acquisition and handling Analyze the evidence collected and determine the root cause of a security incident Become well-versed with memory and log analysis Integrate digital forensic techniques and procedures into the overall incident response process Understand the different techniques for threat hunting Write effective incident reports that document the key findings of your analysis Who this book is for This book is for cybersecurity and information security professionals who want to implement digital forensics and incident response in their organization. You will also find the book helpful if you are new to the ...
    Note: Online resource; Title from title page (viewed January 29, 2020) , Mode of access: World Wide Web.
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  • 45
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (826 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: New edition of the bestselling guide to deep reinforcement learning and how it's used to solve complex real-world problems. Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and more Key Features Second edition of the bestselling introduction to deep reinforcement learning, expanded with six new chapters Learn advanced exploration techniques including noisy networks, pseudo-count, and network distillation methods Apply RL methods to cheap hardware robotics platforms Book Description Deep Reinforcement Learning Hands-On, Second Edition is an updated and expanded version of the bestselling guide to the very latest reinforcement learning (RL) tools and techniques. It provides you with an introduction to the fundamentals of RL, along with the hands-on ability to code intelligent learning agents to perform a range of practical tasks. With six new chapters devoted to a variety of up-to-the-minute developments in RL, including discrete optimization (solving the Rubik's Cube), multi-agent methods, Microsoft's TextWorld environment, advanced exploration techniques, and more, you will come away from this book with a deep understanding of the latest innovations in this emerging field. In addition, you will gain actionable insights into such topic areas as deep Q-networks, policy gradient methods, continuous control problems, and highly scalable, non-gradient methods. You will also discover how to build a real hardware robot trained with RL for less than $100 and solve the Pong environment in just 30 minutes of training using step-by-step code optimization. In short, Deep Reinforcement Learning Hands-On, Second Edition, is your companion to navigating the exciting complexities of RL as it helps you attain experience and knowledge through real-world examples. What you will learn Understand the deep learning context of RL and implement complex deep learning models Evaluate RL methods including cross-entropy, DQN, actor-critic, TRPO, PPO, DDPG, D4PG, and others Build a practical hardware robot trained with RL methods for less than $100 Discover Microsoft's TextWorld environment, which is an interactive fiction games platform Use discrete optimization in RL to solve a Rubik's Cube Teach your agent to play Connect 4 using AlphaGo Zero Explore the very latest deep RL research on topics including AI chatbots Discover advanced exploration techniques, including noisy networks and network di...
    Note: Online resource; Title from title page (viewed January 31, 2020) , Mode of access: World Wide Web.
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  • 46
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (252 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Cyber Minds brings together an unrivalled panel of international experts who offer their insights into current cybersecurity issues in the military, business, and government. Key Features Explore the latest developments in cybersecurity Hear expert insight from the industry's top practitioners Dive deep into cyber threats in business, government, and military Book Description Shira Rubinoff's Cyber Minds brings together the top authorities in cybersecurity to discuss the emergent threats that face industries, societies, militaries, and governments today. With new technology threats, rising international tensions, and state-sponsored cyber attacks, cybersecurity is more important than ever. Cyber Minds serves as a strategic briefing on cybersecurity and data safety, collecting expert insights from sector security leaders, including: General Gregory Touhill, former Federal Chief Information Security Officer of the United States Kevin L. Jackson, CEO and Founder, GovCloud Mark Lynd, Digital Business Leader, NETSYNC Joseph Steinberg, Internet Security advisor and thought leader Jim Reavis, Co-Founder and CEO, Cloud Security Alliance Dr. Tom Kellerman, Chief Cybersecurity Officer for Carbon Black Inc and Vice Chair of Strategic Cyber Ventures Board Mary Ann Davidson, Chief Security Officer, Oracle Dr. Sally Eaves, Emergent Technology CTO, Global Strategy Advisor - Blockchain AI FinTech, Social Impact award winner, keynote speaker and author Dr. Guenther Dobrauz, Partner with PwC in Zurich and Leader of PwC Legal Switzerland Barmak Meftah, President, ATamp;T Cybersecurity Cleve Adams, CEO, Site 1001 (AI and big data based smart building company) Ann Johnson, Corporate Vice President - Cybersecurity Solutions Group, Microsoft Barbara Humpton, CEO, Siemens USA Businesses and states depend on effective cybersecurity. This book will help you to arm and inform yourself on what you need to know to keep your business - or your country - safe. What you will learn The threats and opportunities presented by AI How to mitigate social engineering and other human threats Developing cybersecurity strategies for the cloud Major data breaches, their causes, consequences, and key takeaways Blockchain applications for cybersecurity Implications of IoT and how to secure IoT services The role of security in cyberterrorism and state-sponsored cyber attacks Who this book is for This book is essential reading for business leaders, the C-Suite, board members, IT decision m...
    Note: Online resource; Title from title page (viewed January 13, 2020) , Mode of access: World Wide Web.
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  • 47
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800200401
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 hr., 54 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Experiment confidently and have fun with coding About This Video Learn to code with absolutely no prior knowledge or experience Build a solid foundation in writing code before you go on to master any coding language Understand the theory and pseudo coding and build your first app with Scratch and Python In Detail Coding for Beginners is the most beginner-friendly eLearning course for anyone looking to start coding! It doesn't matter if you've never even seen a line of computer code before - if you're interested or just wondering if you can learn to code, this is the course for you! This coding guide is designed as a generic, foundation-level course to help you grasp the common coding concepts that you'll apply in any programming language you choose to learn. You'll get a real head start before you advance to mastering a dedicated language and its syntax.
    Note: Online resource; Title from title screen (viewed January 31, 2020) , Mode of access: World Wide Web.
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  • 48
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800203297
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 10 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Understand how Apache Maven works from the ground up and be a winner with your Java builds About This Video Understand different aspects of how Maven works in a comprehensive set of hands-on videos Appreciate how to use Apache Maven by understanding how it works under the hood Gain valuable practical experience in how to use Apache Maven In Detail In this course, we look at the Maven build tool, which is currently the number-one industry standard for creating Java applications. By concentrating on practical hands-on demonstrations, you'll see first hand how Maven works and from there develop the confidence to be able to use it independently to build your Java projects at home, in college, or in the workplace. This is a beginners' course, although it has some useful content for those already familiar with Maven. But to get the maximum value from the course, you should really be a beginner with the tool. Maybe you've started a new job where they use it to build their applications, or you're learning industry-standard tools to get ahead of the competition. Ultimately, by unlocking the mechanics of how Maven works, you should be able to better build Java projects with the tool and have fun doing so! Please note: You'll need to be familiar with creating simple applications using Java and have an awareness of basic concepts like compilation of Java code, running of a Java class etc., as well as being familiar with using the commandline to run simple commands.
    Note: Online resource; Title from title screen (viewed January 31, 2020) , Mode of access: World Wide Web.
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  • 49
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 11 hr., 5 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks ; local
    Abstract: As the digital economy changes the rules of the game for enterprises, the role of software and IT architects is also transforming. Rather than focus on technical decisions alone, architects and senior technologists need to combine organizational and technical knowledge to effect change in their company's structure and processes. To accomplish that, they need to connect the IT engine room to the penthouse, where the business strategy is defined. In this guide, author Gregor Hohpe shares real-world advice and hard-learned lessons from actual IT transformations. His anecdotes help architects, senior developers, and other IT professionals prepare for a more complex but rewarding role in the enterprise. This book is ideal for: Software architects and senior developers looking to shape the company's technology direction or assist in an organizational transformation Enterprise architects and senior technologists searching for practical advice on how to navigate technical and organizational topics CTOs and senior technical architects who are devising an IT strategy that impacts the way the organization works IT managers who want to learn what's worked and what hasn't in large-scale transformation
    Note: Online resource; Title from title screen (viewed August 25, 2020) , Mode of access: World Wide Web.
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  • 50
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838983574
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Boost your Swift 5 programming skills About This Video Master the power of Swift inventories and all the powerful new features in Swift 5 Unravel the potential of SwiftUI, a groundbreaking new technology that makes use of Swift to produce manageable UIs across all of Apple's devices This practical course shows you interesting and effective techniques when working with Swift In Detail With significant yearly updates to the Swift language and the introduction of new iOS SDKs, it can be hard to stay up-to-date. Nevertheless, it is critical to embrace these changes for the success of the apps you are building and your personal career. This course will enhance your skillset by showing you how to write better and more efficient code with Swift-in the least time with minimal effort-and make the best use of Swift 5. In this practical and to-the-point guide, each section is specifically designed to further your programming skills with Swift. We will begin by creating a demo application using SwiftUI and will be implementing all the new features as we move on systematically. We will then explore the benefits of combining SwiftUI with UIKit to build advanced interfaces. We provide exciting tips, tricks, and best practices to enhance your understanding of Swift and the new features in version 5. While delving into Swift UI, a groundbreaking new technology that makes use of Swift to design simple, yet powerful user interfaces across all of Apple's devices. Ultimately, this course will help you tackle the latest challenges and help you master all key, relevant, and significant changes in Swift 5.
    Note: Online resource; Title from title screen (viewed May 6, 2020) , Mode of access: World Wide Web.
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  • 51
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (472 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get a 360-degree view of the Salesforce platform and learn how to use it for sales, service, marketing, and automating business processes. Key Features Understand how to use core Salesforce objects for maximum efficiency Build various dashboards and reports to analyze results and improve visibility in your business processes Learn the basics of Salesforce administration and mobile app set up Book Description Salesforce is the world's leading Customer Relationship Management (CRM) software, helping businesses connect with their constituents and partners. This book will give you a comprehensive introduction to managing sales, marketing, customer relationships, and overall administration for your organization. You'll learn how to configure and use Salesforce for maximum efficiency and return on investment. You'll start by learning how to create activities, manage leads, and develop your prospects and sales pipeline using opportunities and accounts, and then understand how you can enhance marketing activities using campaigns. Packed with real-world business use cases, this Salesforce book will show you how to analyze your business information accurately to make productive decisions. As you advance, you'll get to grips with building various reports and dashboards in Salesforce to derive valuable business insights. Finally, you'll explore tools such as process builder, approval processes, and assignment rules to achieve business process automation and set out on the path to becoming a successful Salesforce Administrator. By the end of the book, you'll have learned how to use Salesforce effectively to achieve your business goals. What you will learn Understand the difference between Salesforce Lightning and Salesforce Classic Create and manage leads in Salesforce Explore business development with accounts and contacts in Salesforce Find out how stages and sales processes help you manage your opportunity pipeline Achieve marketing goals using Salesforce campaigns Perform business analysis using reports and dashboards Gain a high-level overview of the items in the administration section Grasp the different aspects needed to build an effective and flexible Salesforce security model Who this book is for If you're new to Salesforce and want to learn it from scratch, this book is for you. No prior knowledge of Salesforce is required to get started with this book.
    Note: Online resource; Title from title page (viewed May 29, 2020) , Mode of access: World Wide Web.
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  • 52
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781839217357
    Language: English
    Pages: 1 online resource (388 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn RPA by building business solutions such as ERP and CRM automation, software robots, and intelligent process automation from scratch Key Features Use popular RPA tools Automation Anywhere A2019 and UiPath, for real-world task automation Build automation solutions for domains such as System Administration, Finance, HR, Supply Chain, and Customer Relations Extend your RPA capabilities by implementing Intelligent process automation with APIs and AI Book Description Robotic Process automation helps businesses to automate monotonous tasks that can be performed by machines. This project-based guide will help you progress through easy to more advanced RPA projects. You'll learn the principles of RPA and how to architect solutions to meet the demands of business automation, along with exploring the most popular RPA tools - UiPath and Automation Anywhere. In the first part, you'll learn how to use UiPath by building a simple helpdesk ticket system. You'll then automate CRM systems by integrating Excel data with UiPath. After this, the book will guide you through building an AI-based social media moderator using Google Cloud Vision API. In the second part, you'll learn about Automation Anywhere's latest Cloud RPA platform (A2019) by creating projects such as an automated ERP administration system, an AI bot for order and invoice processing, and an automated emergency notification system for employees. Later, you'll get hands-on with advanced RPA tasks such as invoking APIs, before covering complex concepts such as Artificial Intelligence (AI) and machine learning in automation to take your understanding of RPA to the next level. By the end of the book, you'll have a solid foundation in RPA with experience in building real-world projects. What you will learn Explore RPA principles, techniques, and tools using an example-driven approach Understand the basics of UiPath by building a helpdesk ticket generation system Automate read and write operations from Excel in a CRM system using UiPath Build an AI-based social media moderator platform using Google Cloud Vision API with UiPath Explore how to use Automation Anywhere by building a simple sales order processing system Build an automated employee emergency reporting system using Automation Anywhere Test your knowledge of building an automated workflow through fun exercises Who this book is for This RPA book is for enterprise application developers, software developers, business analysts, or any profess...
    Note: Online resource; Title from title page (viewed May 26, 2020) , Mode of access: World Wide Web.
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  • 53
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800565685
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Build next-gen programming skills using RxJava 3.0 and Reactive Streams About This Video Become proficient in Reactive programming using RXJava 3.x Explore different Reactive Streams and learn about their implementation Understand how different operators and observables work in Java In Detail In this course, you'll learn about Reactive programming and libraries such as RxJava and Reactor that are designed to keep the application responsive and make the system more resilient. The course starts by helping you understand the fundamentals of RxJava to make it easy for you to learn advanced topics such as the Reactive Manifesto, callbacks, callback hell, sync vs async, concurrent vs parallel, and the observer design pattern. As you advance, you'll also dive into the concepts of observable and observers, operators, combining observables, and replaying caching and subjects. You'll then explore concurrency and parallelism and get to grips with buffering, throttling, and switching. By the end of the course, you'll have developed a solid understanding of Reactive programming concepts and RxJAVA.
    Note: Online resource; Title from title screen (viewed May 28, 2020) , Mode of access: World Wide Web.
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  • 54
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781789537147
    Language: English
    Pages: 1 online resource (438 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore Keras, scikit-image, open source computer vision (OpenCV), Matplotlib, and a wide range of other Python tools and frameworks to solve real-world image processing problems Key Features Discover solutions to complex image processing tasks using Python tools such as scikit-image and Keras Learn popular concepts such as machine learning, deep learning, and neural networks for image processing Explore common and not-so-common challenges faced in image processing Book Description With the advancements in wireless devices and mobile technology, there's increasing demand for people with digital image processing skills in order to extract useful information from the ever-growing volume of images. This book provides comprehensive coverage of the relevant tools and algorithms, and guides you through analysis and visualization for image processing. With the help of over 60 cutting-edge recipes, you'll address common challenges in image processing and learn how to perform complex tasks such as object detection, image segmentation, and image reconstruction using large hybrid datasets. Dedicated sections will also take you through implementing various image enhancement and image restoration techniques, such as cartooning, gradient blending, and sparse dictionary learning. As you advance, you'll get to grips with face morphing and image segmentation techniques. With an emphasis on practical solutions, this book will help you apply deep learning techniques such as transfer learning and fine-tuning to solve real-world problems. By the end of this book, you'll be proficient in utilizing the capabilities of the Python ecosystem to implement various image processing techniques effectively. What you will learn Implement supervised and unsupervised machine learning algorithms for image processing Use deep neural network models for advanced image processing tasks Perform image classification, object detection, and face recognition Apply image segmentation and registration techniques on medical images to assist doctors Use classical image processing and deep learning methods for image restoration Implement text detection in images using Tesseract, the optical character recognition (OCR) engine Understand image enhancement techniques such as gradient blending Who this book is for This book is for image processing engineers, computer vision engineers, software developers, machine learning engineers, or anyone who wants to become well-versed with image processing...
    Note: Online resource; Title from title page (viewed April 17, 2020) , Mode of access: World Wide Web.
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  • 55
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (826 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn 2D drawing and 3D modeling from scratch using AutoCAD 2021 and its more affordable LT version to become a CAD professional Key Features Explore the AutoCAD GUI, file format, and drawing tools to get started with CAD projects Learn to use drawing management tools for working efficiently on large projects Discover techniques for creating, modifying, and managing 3D models and converting 2D plans into 3D models Book Description AutoCAD and AutoCAD LT are one of the most versatile software applications for architectural and engineering designs and the most popular computer-aided design (CAD) platform for 2D drafting and 3D modeling. This hands-on guide will take you through everything you need to know to make the most out of this powerful tool, starting from a simple tour of the user interface through to using advanced tools. Starting with basic drawing shapes and functions, you'll get to grips with the fundamentals of CAD designs. You'll then learn about effective drawing management using layers, dynamic blocks, and groups and discover how to add annotations and plot like professionals. The book delves into 3D modeling and helps you convert your 2D drawings into 3D models and shapes. As you progress, you'll cover advanced tools and features such as isometric drawings, drawing utilities for managing and recovering complex files, quantity surveying, and multidisciplinary drawing files using xRefs, and you'll learn how to implement them with the help of practical exercises at the end of each chapter. Finally, you'll get to grips with rendering and visualizing your designs in AutoCAD. By the end of the book, you'll have developed a solid understanding of CAD principles and be able to work with AutoCAD software confidently to build impressive 2D and 3D drawings. What you will learn Understand CAD fundamentals using AutoCAD's basic functions, navigation, and components Create complex 3d solid objects starting from the primitive shapes using the solid editing tools Working with reusable objects like Blocks and collaborating using xRef Explore some advanced features like external references and dynamic block Get to grips with surface and mesh modeling tools such as Fillet, Trim, and Extend Use the paper space layout in AutoCAD for creating professional plots for 2D and 3D models Convert your 2D drawings into 3D models Who this book is for The book is for design engineers, mechanical engineers, architects, and anyone working in construction, manufac...
    Note: Online resource; Title from title page (viewed May 15, 2020) , Mode of access: World Wide Web.
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  • 56
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (380 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn how to deploy effective deep learning solutions on cross-platform applications built using TensorFlow Lite, ML Kit, and Flutter Key Features Work through projects covering mobile vision, style transfer, speech processing, and multimedia processing Cover interesting deep learning solutions for mobile Build your confidence in training models, performance tuning, memory optimization, and neural network deployment through every project Book Description Deep learning is rapidly becoming the most popular topic in the mobile app industry. This book introduces trending deep learning concepts and their use cases with an industrial and application-focused approach. You will cover a range of projects covering tasks such as mobile vision, facial recognition, smart artificial intelligence assistant, augmented reality, and more. With the help of eight projects, you will learn how to integrate deep learning processes into mobile platforms, iOS, and Android. This will help you to transform deep learning features into robust mobile apps efficiently. You'll get hands-on experience of selecting the right deep learning architectures and optimizing mobile deep learning models while following an application oriented-approach to deep learning on native mobile apps. We will later cover various pre-trained and custom-built deep learning model-based APIs such as machine learning (ML) Kit through Firebase. Further on, the book will take you through examples of creating custom deep learning models with TensorFlow Lite. Each project will demonstrate how to integrate deep learning libraries into your mobile apps, right from preparing the model through to deployment. By the end of this book, you'll have mastered the skills to build and deploy deep learning mobile applications on both iOS and Android. What you will learn Create your own customized chatbot by extending the functionality of Google Assistant Improve learning accuracy with the help of features available on mobile devices Perform visual recognition tasks using image processing Use augmented reality to generate captions for a camera feed Authenticate users and create a mechanism to identify rare and suspicious user interactions Develop a chess engine based on deep reinforcement learning Explore the concepts and methods involved in rolling out production-ready deep learning iOS and Android applications Who this book is for This book is for data scientists, deep learning and computer vision engineers, and natu...
    Note: Online resource; Title from title page (viewed April 6, 2020) , Mode of access: World Wide Web.
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  • 57
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (442 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: An administrator's guide to deploying, configuring, securing, managing, and monitoring devices and client applications in an enterprise environment and passing Exam MD-100: Windows 10 easily Key Features Equip yourself to earn the Microsoft 365 Certified: Modern Desktop Administrator Associate certification Develop the skills needed to pass the Exam MD-100 and advance in your organization Learn to install Windows 10 operating systems and deploy and manage modern desktops and devices Book Description Microsoft Exam MD-100 Windows 10 Certification Guide offers complete, up-to-date coverage of the MD-100 exam, helping you take the exam with confidence, fully equipped to pass on the first attempt. Complete with a clear, succinct explanation of key concepts, self-assessment questions, tips, and mock exams with detailed answers, this MD-100 study guide covers different facets of upgrading and deploying Windows 10. You'll learn how to manage devices and data, configure connectivity, troubleshoot OS and app problems, and secure and maintain Windows 10 with updates and recovery. You'll also explore different Windows 10 editions and learn how to choose the best fit for your organization. This book will guide you in installing and configuring Windows 10 using different approaches. As you advance, you'll get to grips with managing local users and groups in Windows 10 and learn how to establish connections via different networks, such as a LAN and WLAN/Wi-Fi. By the end of this book, you'll have covered everything you need to pass the MD-100 certification exam and become a Microsoft 365 Certified: Modern Desktop Administrator Associate. What you will learn Deploy Windows 10 in a variety of ways Manage local users, groups, and devices Configure networking and remote connectivity Gain insights into Windows 10 maintenance Customize different Windows 10 features Become an expert at troubleshooting and recovery Get to grips with managing log files Monitor and manage Windows security Who this book is for This book is for both experienced and novice IT administrators who work with deploying, configuring, securing, and monitoring devices. Anyone with a working knowledge of managing identity, access, policies, updates, and apps can take this exam. Although not necessary, experience with Microsoft 365 workloads, Windows 10 devices, and non-Windows devices will be helpful.
    Note: Online resource; Title from title page (viewed May 22, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (246 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: A comprehensive guide to Metasploit for beginners that will help you get started with the latest Metasploit 5.0 Framework for exploiting real-world vulnerabilities Key Features Perform pentesting in highly secured environments with Metasploit 5.0 Become well-versed with the latest features and improvements in the Metasploit Framework 5.0 Analyze, find, exploit, and gain access to different systems by bypassing various defenses Book Description Securing an IT environment can be challenging, however, effective penetration testing and threat identification can make all the difference. This book will help you learn how to use the Metasploit Framework optimally for comprehensive penetration testing. Complete with hands-on tutorials and case studies, this updated second edition will teach you the basics of the Metasploit Framework along with its functionalities. You'll learn how to set up and configure Metasploit on various platforms to create a virtual test environment. Next, you'll get hands-on with the essential tools. As you progress, you'll learn how to find weaknesses in the target system and hunt for vulnerabilities using Metasploit and its supporting tools and components. Later, you'll get to grips with web app security scanning, bypassing anti-virus, and post-compromise methods for clearing traces on the target system. The concluding chapters will take you through real-world case studies and scenarios that will help you apply the knowledge you've gained to ethically hack into target systems. You'll also discover the latest security techniques that can be directly applied to scan, test, ethically hack, and secure networks and systems with Metasploit. By the end of this book, you'll have learned how to use the Metasploit 5.0 Framework to exploit real-world vulnerabilities. What you will learn Set up the environment for Metasploit Understand how to gather sensitive information and exploit vulnerabilities Get up to speed with client-side attacks and web application scanning using Metasploit Leverage the latest features of Metasploit 5.0 to evade anti-virus Delve into cyber attack management using Armitage Understand exploit development and explore real-world case studies Who this book is for If you are a penetration tester, ethical hacker, or security consultant who wants to quickly get started with using the Metasploit Framework to carry out elementary penetration testing in highly secured environments, then this Metasploit book is for you. Yo...
    Note: Online resource; Title from title page (viewed April 10, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 2 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: In 2018, with interest in artificial intelligence reaching a fever pitch, O'Reilly created a survey to ask about AI adoption. Results showed that the AI space was in a state of rapid change, so we eagerly commissioned a follow-up survey in 2019. Based on more than 1,300 responses, the update sheds light on what AI adoption looks like in the enterprise right now, covering everything from the popularity of specific techniques and tools to the challenges experienced by adopters and more. (Hint: Deployments are shifting from prototype to production.) O'Reilly Expert, Roger Magoulas, uses data from your peers to highlight some of the challenges and triumphs of AI adoption. Recorded on March 26, 2020. See the original event page for resources for further learning or watch recordings of other past events . O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You'll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions.
    Note: Online resource; Title from title screen (viewed April 21, 2020) , Mode of access: World Wide Web.
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  • 60
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Why does Bitcoin matter? More than just "nerd money," Bitcoin is changing the world monetary order in countless ways-and that's a good thing. For instance, Bitcoin is a godsend for people in many distressed places around the world; it allows them mobility, access, and property rights where there might be none. In this Meet the Expert with Jimmy Song, learn why Bitcoin is-and will continue to be-a major force for good all over the world. You'll discover the many ways in which Bitcoin is already changing the world and understand how it will do so in the coming years. Recorded on June 1, 2020. See the original event page for resources for further learning or watch recordings of past events . O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You'll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions.
    Note: Online resource; Title from title screen (viewed June 3, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838827069
    Language: English
    Pages: 1 online resource (430 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Apply neural network architectures to build state-of-the-art computer vision applications using the Python programming language Key Features Gain a fundamental understanding of advanced computer vision and neural network models in use today Cover tasks such as low-level vision, image classification, and object detection Develop deep learning models on cloud platforms and optimize them using TensorFlow Lite and the OpenVINO toolkit Book Description Computer vision allows machines to gain human-level understanding to visualize, process, and analyze images and videos. This book focuses on using TensorFlow to help you learn advanced computer vision tasks such as image acquisition, processing, and analysis. You'll start with the key principles of computer vision and deep learning to build a solid foundation, before covering neural network architectures and understanding how they work rather than using them as a black box. Next, you'll explore architectures such as VGG, ResNet, Inception, R-CNN, SSD, YOLO, and MobileNet. As you advance, you'll learn to use visual search methods using transfer learning. You'll also cover advanced computer vision concepts such as semantic segmentation, image inpainting with GAN's, object tracking, video segmentation, and action recognition. Later, the book focuses on how machine learning and deep learning concepts can be used to perform tasks such as edge detection and face recognition. You'll then discover how to develop powerful neural network models on your PC and on various cloud platforms. Finally, you'll learn to perform model optimization methods to deploy models on edge devices for real-time inference. By the end of this book, you'll have a solid understanding of computer vision and be able to confidently develop models to automate tasks. What you will learn Explore methods of feature extraction and image retrieval and visualize different layers of the neural network model Use TensorFlow for various visual search methods for real-world scenarios Build neural networks or adjust parameters to optimize the performance of models Understand TensorFlow DeepLab to perform semantic segmentation on images and DCGAN for image inpainting Evaluate your model and optimize and integrate it into your application to operate at scale Get up to speed with techniques for performing manual and automated image annotation Who this book is for This book is for computer vision professionals, image processing professionals, machine le...
    Note: Online resource; Title from title page (viewed May 15, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800568068
    Language: English
    Pages: 1 online resource (1 video file, approximately 9 hr., 25 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Build efficient applications in ASP.NET using Razor Pages About This Video Learn the basic structure and security of ASP.NET Core 3.1 Project Build a CRUD operations application with Entity Framework (EF) using Razor Pages Integrate Entity Framework with Code First Migrations In Detail This course will give you an in-depth understanding of ASP.NET Core 3.1 using Razor Pages, starting from the basics to the advanced-level concepts. Throughout the course, you'll build multiple projects to understand and explore ASP.NET Core 3.1. In the first project, the course will take you through building a CRUD Operations application with EF and Razor Pages. Next, you'll build an auto shop website, where the admin can add service records and the customers can view service history. As you explore the latest framework introduced by Microsoft, you'll get to grips with authentication and authorization in the .NET framework. You'll learn how to tag helpers while creating a page link and create a service Razor Page using the car service view model. Toward the end of the course, you'll get hands-on experience of data seeding and deploying to Azure, and cover third-party hosting.
    Note: Online resource; Title from title screen (viewed April 30, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (400 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You'll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP). Ideal for professionals working at hedge funds, investment and retail banks, and fintech firms, this book also delves deep into portfolio management, algorithmic trading, derivative pricing, fraud detection, asset price prediction, sentiment analysis, and robo-advisor and chatbot development. You'll explore real-life problems faced by practitioners and learn scientifically sound solutions supported by code and examples. This book covers: Supervised learning regression-based models for trading strategies, derivative pricing, and portfolio management Supervised learning classification-based models for credit default risk prediction, fraud detection, and trading strategies Dimensionality reduction techniques with case studies in portfolio management, trading strategy, and yield curve construction Algorithms and clustering techniques for finding similar objects, with case studies in trading strategies and portfolio management Reinforcement learning models and techniques used for building trading strategies, derivatives hedging, and portfolio management NLP techniques using Python libraries such as NLTK and scikit-learn for transforming text into meaningful representations
    Note: Online resource; Title from title page (viewed November 25, 2020) , Mode of access: World Wide Web.
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  • 64
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838984762
    Language: English
    Pages: 1 online resource (564 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn everything you need to know to build efficient SQL queries using this easy-to-follow beginner's guide Key Features Explore all SQL statements in depth using a variety of examples Get to grips with database querying, data aggregate, manipulation, and much more Understand how to explore and process data of varying complexity to tell a story Book Description SQL is a powerful querying language that's used to store, manipulate, and retrieve data, and it is one of the most popular languages used by developers to query and analyze data efficiently. If you're looking for a comprehensive introduction to SQL, Learn SQL Database Programming will help you to get up to speed with using SQL to streamline your work in no time. Starting with an overview of relational database management systems, this book will show you how to set up and use MySQL Workbench and design a database using practical examples. You'll also discover how to query and manipulate data with SQL programming using MySQL Workbench. As you advance, you'll create a database, query single and multiple tables, and modify data using SQL querying. This SQL book covers advanced SQL techniques, including aggregate functions, flow control statements, error handling, and subqueries, and helps you process your data to present your findings. Finally, you'll implement best practices for writing SQL and designing indexes and tables. By the end of this SQL programming book, you'll have gained the confidence to use SQL queries to retrieve and manipulate data. What you will learn Install, configure, and use MySQL Workbench to restore a database Explore different data types such as string, numeric, and date and time Query a single table using the basic SQL SELECT statement and the FROM, WHERE, and ORDER BY clauses Query multiple tables by understanding various types of table relationships Modify data in tables using the INSERT, UPDATE, and DELETE statements Use aggregate functions to group and summarize data Detect bad data, duplicates, and irrelevant values while processing data Who this book is for This book is for business analysts, SQL developers, database administrators, and students learning SQL. If you want to learn how to query and manipulate SQL data for database administration tasks or simply extract and organize relevant data for analysis, you'll find this book useful. No prior SQL experience is required.
    Note: Online resource; Title from title page (viewed May 29, 2020) , Mode of access: World Wide Web.
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  • 65
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (368 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get up and running with collecting evidence using forensics best practices to present your findings in judicial or administrative proceedings Key Features Learn the core techniques of computer forensics to acquire and secure digital evidence skillfully Conduct a digital forensic examination and document the digital evidence collected Analyze security systems and overcome complex challenges with a variety of forensic investigations Book Description A computer forensics investigator must possess a variety of skills, including the ability to answer legal questions, gather and document evidence, and prepare for an investigation. This book will help you get up and running with using digital forensic tools and techniques to investigate cybercrimes successfully. Starting with an overview of forensics and all the open source and commercial tools needed to get the job done, you'll learn core forensic practices for searching databases and analyzing data over networks, personal devices, and web applications. You'll then learn how to acquire valuable information from different places, such as filesystems, e-mails, browser histories, and search queries, and capture data remotely. As you advance, this book will guide you through implementing forensic techniques on multiple platforms, such as Windows, Linux, and macOS, to demonstrate how to recover valuable information as evidence. Finally, you'll get to grips with presenting your findings efficiently in judicial or administrative proceedings. By the end of this book, you'll have developed a clear understanding of how to acquire, analyze, and present digital evidence like a proficient computer forensics investigator. What you will learn Understand investigative processes, the rules of evidence, and ethical guidelines Recognize and document different types of computer hardware Understand the boot process covering BIOS, UEFI, and the boot sequence Validate forensic hardware and software Discover the locations of common Windows artifacts Document your findings using technically correct terminology Who this book is for If you're an IT beginner, student, or an investigator in the public or private sector this book is for you.This book will also help professionals and investigators who are new to incident response and digital forensics and interested in making a career in the cybersecurity domain.
    Note: Online resource; Title from title page (viewed April 30, 2020) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (362 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Create your own clear and impactful interactive data visualizations with the powerful data visualization libraries of Python Key Features Study and use Python interactive libraries, such as Bokeh and Plotly Explore different visualization principles and understand when to use which one Create interactive data visualizations with real-world data Book Description With so much data being continuously generated, developers, who can present data as impactful and interesting visualizations, are always in demand. Interactive Data Visualization with Python sharpens your data exploration skills, tells you everything there is to know about interactive data visualization in Python. You'll begin by learning how to draw various plots with Matplotlib and Seaborn, the non-interactive data visualization libraries. You'll study different types of visualizations, compare them, and find out how to select a particular type of visualization to suit your requirements. After you get a hang of the various non-interactive visualization libraries, you'll learn the principles of intuitive and persuasive data visualization, and use Bokeh and Plotly to transform your visuals into strong stories. You'll also gain insight into how interactive data and model visualization can optimize the performance of a regression model. By the end of the course, you'll have a new skill set that'll make you the go-to person for transforming data visualizations into engaging and interesting stories. What you will learn Explore and apply different interactive data visualization techniques Manipulate plotting parameters and styles to create appealing plots Customize data visualization for different audiences Design data visualizations using interactive libraries Use Matplotlib, Seaborn, Altair and Bokeh for drawing appealing plots Customize data visualization for different scenarios Who this book is for This book intends to provide a solid training ground for Python developers, data analysts and data scientists to enable them to present critical data insights in a way that best captures the user's attention and imagination. It serves as a simple step-by-step guide that demonstrates the different types and components of visualization, the principles, and techniques of effective interactivity, as well as common pitfalls to avoid when creating interactive data visualizations. Students should have an intermediate level of competency in writing Python code, as well as some familiarity with using l...
    Note: Online resource; Title from title page (viewed April 14, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (368 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Kick-start your DevOps career by learning how to effectively deploy Kubernetes on Azure in an easy, comprehensive, and fun way with hands-on coding tasks Key Features Understand the fundamentals of Docker and Kubernetes Learn to implement microservices architecture using the Kubernetes platform Discover how you can scale your application workloads in Azure Kubernetes Service (AKS) Book Description From managing versioning efficiently to improving security and portability, technologies such as Kubernetes and Docker have greatly helped cloud deployments and application development. Starting with an introduction to Docker, Kubernetes, and Azure Kubernetes Service (AKS), this book will guide you through deploying an AKS cluster in different ways. You'll then explore the Azure portal by deploying a sample guestbook application on AKS and installing complex Kubernetes apps using Helm. With the help of real-world examples, you'll also get to grips with scaling your application and cluster. As you advance, you'll understand how to overcome common challenges in AKS and secure your application with HTTPS and Azure AD (Active Directory). Finally, you'll explore serverless functions such as HTTP triggered Azure functions and queue triggered functions. By the end of this Kubernetes book, you'll be well-versed with the fundamentals of Azure Kubernetes Service and be able to deploy containerized workloads on Microsoft Azure with minimal management overhead. What you will learn Plan, configure, and run containerized applications in production Use Docker to build apps in containers and deploy them on Kubernetes Improve the configuration and deployment of apps on the Azure Cloud Store your container images securely with Azure Container Registry Install complex Kubernetes applications using Helm Integrate Kubernetes with multiple Azure PaaS services, such as databases, Event Hubs and Functions. Who this book is for This book is for aspiring DevOps professionals, system administrators, developers, and site reliability engineers looking to understand test and deployment processes and improve their efficiency. If you're new to working with containers and orchestration, you'll find this book useful.
    Note: Online resource; Title from title page (viewed May 18, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781788996839
    Language: English
    Pages: 1 online resource (330 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and Deepnet Key Features Understand deep learning algorithms and architectures using R and determine which algorithm is best suited for a specific problem Improve models using parameter tuning, feature engineering, and ensembling Apply advanced neural network models such as deep autoencoders and generative adversarial networks (GANs) across different domains Book Description Deep learning enables efficient and accurate learning from a massive amount of data. This book will help you overcome a number of challenges using various deep learning algorithms and architectures with R programming. This book starts with a brief overview of machine learning and deep learning and how to build your first neural network. You'll understand the architecture of various deep learning algorithms and their applicable fields, learn how to build deep learning models, optimize hyperparameters, and evaluate model performance. Various deep learning applications in image processing, natural language processing (NLP), recommendation systems, and predictive analytics will also be covered. Later chapters will show you how to tackle recognition problems such as image recognition and signal detection, programmatically summarize documents, conduct topic modeling, and forecast stock market prices. Toward the end of the book, you will learn the common applications of GANs and how to build a face generation model using them. Finally, you'll get to grips with using reinforcement learning and deep reinforcement learning to solve various real-world problems. By the end of this deep learning book, you will be able to build and deploy your own deep learning applications using appropriate frameworks and algorithms. What you will learn Design a feedforward neural network to see how the activation function computes an output Create an image recognition model using convolutional neural networks (CNNs) Prepare data, decide hidden layers and neurons and train your model with the backpropagation algorithm Apply text cleaning techniques to remove uninformative text using NLP Build, train, and evaluate a GAN model for face generation Understand the concept and implementation of reinforcement learning in R Who this book is for This book is for data scientists, machine learning engineers, and deep learning developers who are familiar with machine learning and are lo...
    Note: Online resource; Title from title page (viewed April 24, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781789345063
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 54 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Create powerful applications for the modern web using ASP.NET Core 3 About This Video Go from a beginner to creating your own ASP.NET Core application Grasp MVC Core concepts and design dynamic web pages Program your ASP.NET Core applications with this easy and friendly guide In Detail Have you ever wanted to learn how to build an ASP.NET Core application from scratch? In this course, you'll learn the fundamentals of ASP.NET Core 3 and start building your first ASP.NET Core application with the MVC framework. ASP.NET is an open-source, server-side web application framework designed to boost your web development skills so you can produce dynamic web pages. This course will teach you ASP.NET Core 3 coding methodologies in unique and enticing ways. You will get hands-on training each day followed by a quiz that you can implement as an assignment. You will learn about ASP.NET Core 3 and develop your applications effectively. Each section will teach you to achieve a certain ASP.NET Core 3 goal with unique and intuitive examples. This course provides seven self-contained lessons and each is taught via a practical, hands-on approach. By the end of the course, you will be able to build your own powerful application using ASP.NET Core 3.
    Note: Online resource; Title from title screen (viewed June 17, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: In this brief introduction to Kip Harkness and Tim O'Reilly's Expert Playlist , Tim explains why they selected these pieces to describe how the city of San Jose developed and implemented an agile action plan for responding to the COVID-19 crisis.
    Note: Online resource; Title from title screen (viewed May 22, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800209695
    Language: English
    Pages: 1 online resource (1 video file, approximately 17 hr., 7 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Automate repetitive tasks with Bash Shell Scripting to save valuable time About This Video Learn the basics of Bash Shell Scripting Explore the input and output commands for shell scripting Understand arithmetic operators with detailed explanations In Detail This course is designed to help you automate repetitive tasks and master Bash Shell Scripting easily. With most organizations adopting the open source Linux and Unix operating systems, there is an ever-increasing demand for developers with Linux and Unix skills. This course covers command-line commands and Bash Shell Scripting extensively to help you become a Linux\Unix OS expert.
    Note: Online resource; Title from title screen (viewed April 30, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (24 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: The shift to the cloud is ongoing, and perhaps even accelerated by the COVID-19 pandemic.
    Note: Online resource; Title from title page (viewed May 15, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (261 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn how to install, use, and administer CentOS 8 with the help of expert guidance and engaging examples Key Features Become familiar with a popular and stable Red Hat Enterprise Linux distribution Gain a thorough overview of the operating system by learning concepts such as disk partitioning, KVM virtualization, and more Explore advanced topics such as logical volume management and firewall configuration Book Description Linux kernel development is perhaps the world's largest collaborative project to date. With CentOS 8 Essentials, you'll be given easily accessible information to install, use, and administer the CentOS 8 distribution. The book begins with a concise history of the Linux operating system and CentOS. You'll then learn how to install CentOS 8 using the dual boot configuration so that it can coexist with Windows on the same drive. After installing CentOS, you'll learn GNOME 3 - the desktop environment included with CentOS 8 that helps you navigate through the distribution. As you progress, you'll explore the Cockpit web interface that enables you to perform tasks via a web browser instead of using the command-line. You'll then take a brief tour of the Bash shell environment and learn ways to administer a system that doesn't have a desktop or a Cockpit interface. While learning advanced concepts, you'll see how to manage swap space efficiently and control the performance of CentOS 8. By the end of the book, you'll have all the essential information you need to comfortably start using the CentOS 8 distribution. What you will learn Work in dual boot environments Install and manage packages with App Streams Perform systemd unit configuration tasks using the systemctl command-line tool Configure the RHEL 8 firewall Share files with Linux and Windows systems using Samba and NFS Deploy KVM-based virtual machines Who this book is for CentOS 8 Essentials is an ideal book for you if you want essential information to start using the CentOS 8 distribution. Whether you are a developer, a system administrator, or a tech lover with no previous Linux administration background, you'll be able to start your adventure with this book.
    Note: Online resource; Title from title page (viewed May 12, 2020) , Mode of access: World Wide Web.
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  • 74
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800209343
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 hr., 53 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: A beginner's guide to mastering real-time stream processing using Apache Kafka and Kafka Streams API About This Video Design, develop, and test real-time stream processing applications using Kafka Streams Explore the Kafka Streams architecture, Streams DSL, and exactly-once processing in Apache Kafka Autogenerate Java Objects from JSON and AVRO Schema definition In Detail If you want to understand the concept of stream processing, this course is for you. Using Kafka, the course will help you get to grips with real-time stream processing and enable you to apply that knowledge to learn Kafka programming techniques. This course uses the Kafka Streams library available in Apache Kafka 2.x. All the source code and examples on Apache Kafka 2.3 open-source distribution have been tested. You'll understand and explore Confluent Platform functionalities such as Schema Registry and Avro Serdes using the Confluent Community Version. This course makes extensive use of IntelliJ IDEA and Apache Maven as the preferred development IDE. You'll leverage Log4J2 and JUnit5 for industry-standard log implementation in your application and implementing unit test cases, respectively.
    Note: Online resource; Title from title screen (viewed April 30, 2020) , Mode of access: World Wide Web.
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  • 75
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (62 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Recently, data scientists have found effective methods to generate high-quality synthetic data. That's good news for companies seeking large amounts of data to train and build artificial intelligence and machine learning models. This report provides an overview of synthetic data generation that not only focuses on business value and use cases but also provides some practical techniques for using synthetic data. Author Khaled El Emam, cofounder and Director of Replica Analytics and Professor at the University of Ottawa, helps data analytics leadership understand the options so they can get started building their own training sets. With the help of several industry use cases, you'll learn how synthetic data can accelerate machine learning projects in your company. As advances in synthetic data generation continue, broad adoption of this approach will quickly follow. Learn what synthetic data is and how it can accelerate machine learning model development Understand how synthetic data is generated-and why these datasets are similar to real data Explore the process and best practices for generating synthetic datasets Examine case studies of synthetic data use in industries including manufacturing, healthcare, financial services, and transportation Learn key requirements for future work and improvements to synthetic data
    Note: Online resource; Title from title page (viewed June 25, 2020) , Mode of access: World Wide Web.
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  • 76
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (276 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Improve your understanding of Scrum through the proven experience and collected wisdom of experts around the world. Based on real-life experiences, the 97 essays in this unique book provide a wealth of knowledge and expertise from established practitioners who have dealt with specific problems and challenges with Scrum. You'll find out more about the rules and roles of this framework, as well as tactics, strategies, specific patterns to use with Scrum, and stories from the trenches. You'll also gain insights on how to apply, tune, and tweak Scrum for your work. This guide is an ideal resource for people new to Scrum and those who want to assess and improve their understanding of this framework. "Scrum Is Simple. Just Use It As Is.," Ken Schwaber "The 'Standing Meeting,'" Bob Warfield "Specialization Is for Insects," James O. Coplien "Scrum Events Are Rituals to Ensure Good Harvest," Jasper Lamers "Servant Leadership Starts from Within," Bob Galen "Agile Is More than Sprinting," James W. Grenning
    Note: Online resource; Title from title page (viewed April 27, 2020) , Mode of access: World Wide Web.
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  • 77
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (350 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you want to push your Java skills to the next level, this book provides expert advice from Java leaders and practitioners. You'll be encouraged to look at problems in new ways, take broader responsibility for your work, stretch yourself by learning new techniques, and become as good at the entire craft of development as you possibly can. Edited by Kevlin Henney and Trisha Gee, 97 Things Every Java Programmer Should Know reflects lifetimes of experience writing Java software and living with the process of software development. Great programmers share their collected wisdom to help you rethink Java practices, whether working with legacy code or incorporating changes since Java 8. A few of the 97 things you should know: "Behavior Is Easy, State Is Hard"-Edson Yanaga "Learn Java Idioms and Cache in Your Brain"-Jeanne Boyarsky "Java Programming from a JVM Performance Perspective"-Monica Beckwith "Garbage Collection Is Your Friend"-Holly K Cummins "Java's Unspeakable Types"-Ben Evans "The Rebirth of Java"-Sander Mak "Do You Know What Time It Is?"-Christin Gorman
    Note: Online resource; Title from title page (viewed May 22, 2020) , Mode of access: World Wide Web.
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  • 78
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (504 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Learn to build cross-platform mobile apps using the latest features in Xamarin.Forms 4 with the help of a series of projects including apps for real-time chatting, AR games, location-tracking, weather, photo galleries, and much more Key Features Develop mobile apps, AR games, and chatbots of varying complexity with the help of real-world examples Explore the important features of Xamarin.Forms 4 such as Shell, CollectionView, and CarouselView Get to grips with advanced concepts such as AR and VR and machine learning for mobile development Book Description Xamarin.Forms is a lightweight cross-platform development toolkit for building apps with a rich user interface. Improved and updated to cover the latest features of Xamarin.Forms, this second edition covers CollectionView and Shell, along with interesting concepts such as augmented reality (AR) and machine learning. Starting with an introduction to Xamarin and how it works, this book shares tips for choosing the type of development environment you should strive for when planning cross-platform mobile apps. You'll build your first Xamarin.Forms app and learn how to use Shell to implement the app architecture. The book gradually increases the level of complexity of the projects, guiding you through creating apps ranging from a location tracker and weather map to an AR game and face recognition. As you advance, the book will take you through modern mobile development frameworks such as SQLite, .NET Core Mono, ARKit, and ARCore. You'll be able to customize your apps for both Android and iOS platforms to achieve native-like performance and speed. The book is filled with engaging examples, so you can grasp essential concepts by writing code instead of reading through endless theory. By the end of this book, you'll be ready to develop your own native apps with Xamarin.Forms and its associated technologies, such as .NET Core, Visual Studio 2019, and C#. What you will learn Set up Xamarin.Forms to build native apps with code-sharing capabilities Understand the core aspects of developing a mobile app, such as its layout, UX, and rendering Use custom renderers to gain platform-specific access Discover how to create custom layouts for your apps with Xamarin.Forms Shell Use Azure SignalR to implement serverless services in your Xamarin apps Create an augmented reality (AR) game for Android and iOS using ARCore and ARKit, respectively Build and train machine learning models using CoreML, TensorFlow, and Az...
    Note: Online resource; Title from title page (viewed June 19, 2020) , Mode of access: World Wide Web.
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  • 79
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (107 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Since its 2015 release, TensorFlow has become a de facto standard among enterprise AI technologies. This comprehensive report introduces the new features of TensorFlow 2.x and Keras to developers and data scientists with machine learning skills. Many companies consider TensorFlow 2.x to be a major step in building a one-stop shop for deep learning tasks they need to perform. Romeo Kienzler, chief data scientist at the IBM Center for Open Source Data and AI Technologies, and Jerome Nilmeier, a data scientist and developer at Spark Technology Center, explain how your company can benefit from the new TensorFlow functionality. After reading this report, you can determine objectively whether adopting or upgrading to TensorFlow 2.x is worth your while. You'll examine: Two key TensorFlow APIs: Tensor-based API and Keras The eager execution mode for natural Python programming without TensorFlow sessions tf.function and AutoGraph for creating TensorFlow code in pure Python that the TensorFlow execution engine can consume How Keras is now tightly integrated with the TensorFlow backend under the hood The TensorBoard visualization framework, which contains rich capabilities How TensorFlow accomplishes parallel neural network training and scoring TensorFlow 2.x features including API cleanup, improved model export, and TensorFlow Serving
    Note: Online resource; Title from title page (viewed July 24, 2020) , Mode of access: World Wide Web.
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  • 80
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (762 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: A practical guide to Unity game scripting using C#, backed with practice tests, exam tips, and easy-to-follow examples to help you better prepare for the exam and become a pro in Unity programming Key Features Discover the essentials of game scripting with Unity and C# to customize every aspect of your game Overcome challenges in Unity game development using effective techniques and easy solutions Pass the Unity certification exam with the help of mock tests, exam tips, and self-assessment questions Book Description Unity Certified Programmer is a global certification program by Unity for anyone looking to become a professional Unity developer. The official Unity programmer exam will not only validate your Unity knowledge and skills, but also enable you to be part of the Unity community. This study guide will start by building on your understanding of C# programming and take you through the process of downloading and installing Unity. You'll understand how Unity works and get to grips with the core objectives of the Unity exam. As you advance, you'll enhance your skills by creating an enjoyable side-scrolling shooter game that can be played within the Unity Editor or any recent Android mobile device. This Unity book will test your knowledge with self-assessment questions and help you take your skills to an advanced level by working with Unity tools such as the Animator, Particle Effects, Lighting, UI/UX, Scriptable Objects, and debugging. By the end of this book, you'll have developed a solid understanding of the different tools in Unity and understand how to create impressive Unity applications by making the most of its toolset. What you will learn Discover techniques for writing modular, readable, and reusable scripts in Unity Implement and configure objects, physics, controls, and movements for your game projects Understand 2D and 3D animation and write scripts that interact with Unity's Rendering API Explore Unity APIs for adding lighting, materials, and texture to your apps Write Unity scripts for building interfaces for menu systems, UI navigation, application settings, and much more Delve into SOLID principles for writing clean and maintainable Unity applications Who this book is for The book is for game developers, software developers, mobile app developers, and Unity developers who want to advance in the game or related industry. Basic knowledge of C# programming and Unity engine is required.
    Note: Online resource; Title from title page (viewed June 30, 2020) , Mode of access: World Wide Web.
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  • 81
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781839217333
    Language: English
    Pages: 1 online resource (592 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Explore the latest features of Unity and build VR experiences including first-person interactions, audio fireball games, 360-degree media, art gallery tours, and VR storytelling Key Features Discover step-by-step instructions and best practices to begin your VR development journey Explore Unity features such as URP rendering, XR Interaction Toolkit, and ProBuilder Build impressive VR-based apps and games that can be experienced using modern devices like Oculus Rift and Oculus Quest Book Description This third edition of the Unity Virtual Reality (VR) development guide is updated to cover the latest features of Unity 2019.4 or later versions - the leading platform for building VR games, applications, and immersive experiences for contemporary VR devices. Enhanced with more focus on growing components, such as Universal Render Pipeline (URP), extended reality (XR) plugins, the XR Interaction Toolkit package, and the latest VR devices, this edition will help you to get up to date with the current state of VR. With its practical and project-based approach, this book covers the specifics of virtual reality development in Unity. You'll learn how to build VR apps that can be experienced with modern devices from Oculus, VIVE, and others. This virtual reality book presents lighting and rendering strategies to help you build cutting-edge graphics, and explains URP and rendering concepts that will enable you to achieve realism for your apps. You'll build real-world VR experiences using world space user interface canvases, locomotion and teleportation, 360-degree media, and timeline animation, as well as learn about important VR development concepts, best practices, and performance optimization and user experience strategies. By the end of this Unity book, you'll be fully equipped to use Unity to develop rich, interactive virtual reality experiences. What you will learn Understand the current state of virtual reality and VR consumer products Get started with Unity by building a simple diorama scene using Unity Editor and imported assets Configure your Unity VR projects to run on VR platforms such as Oculus, SteamVR, and Windows immersive MR Design and build a VR storytelling animation with a soundtrack and timelines Implement an audio fireball game using game physics and particle systems Use various software patterns to design Unity events and interactable components Discover best practices for lighting, rendering, and post-processing Who this book is for...
    Note: Online resource; Title from title page (viewed July 30, 2020) , Mode of access: World Wide Web.
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  • 82
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838989217
    Language: English
    Pages: 1 online resource (330 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get a head start in the world of AI and deep learning by developing your skills with PyTorch Key Features Learn how to define your own network architecture in deep learning Implement helpful methods to create and train a model using PyTorch syntax Discover how intelligent applications using features like image recognition and speech recognition really process your data Book Description Want to get to grips with one of the most popular machine learning libraries for deep learning? The Deep Learning with PyTorch Workshop will help you do just that, jumpstarting your knowledge of using PyTorch for deep learning even if you're starting from scratch. It's no surprise that deep learning's popularity has risen steeply in the past few years, thanks to intelligent applications such as self-driving vehicles, chatbots, and voice-activated assistants that are making our lives easier. This book will take you inside the world of deep learning, where you'll use PyTorch to understand the complexity of neural network architectures. The Deep Learning with PyTorch Workshop starts with an introduction to deep learning and its applications. You'll explore the syntax of PyTorch and learn how to define a network architecture and train a model. Next, you'll learn about three main neural network architectures - convolutional, artificial, and recurrent - and even solve real-world data problems using these networks. Later chapters will show you how to create a style transfer model to develop a new image from two images, before finally taking you through how RNNs store memory to solve key data issues. By the end of this book, you'll have mastered the essential concepts, tools, and libraries of PyTorch to develop your own deep neural networks and intelligent apps. What you will learn Explore the different applications of deep learning Understand the PyTorch approach to building neural networks Create and train your very own perceptron using PyTorch Solve regression problems using artificial neural networks (ANNs) Handle computer vision problems with convolutional neural networks (CNNs) Perform language translation tasks using recurrent neural networks (RNNs) Who this book is for This deep learning book is ideal for anyone who wants to create and train deep learning models using PyTorch. A solid understanding of the Python programming language and its packages will help you grasp the topics covered in the book more quickly.
    Note: Online resource; Title from title page (viewed July 22, 2020) , Mode of access: World Wide Web.
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  • 83
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800201774
    Language: English
    Pages: 1 online resource (568 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore the potential of deep learning techniques in computer vision applications using the Python ecosystem, and build real-time systems for detecting human behavior Key Features Understand OpenCV and select the right algorithm to solve real-world problems Discover techniques for image and video processing Learn how to apply face recognition in videos to automatically extract key information Book Description Computer Vision (CV) has become an important aspect of AI technology. From driverless cars to medical diagnostics and monitoring the health of crops to fraud detection in banking, computer vision is used across all domains to automate tasks. The Computer Vision Workshop will help you understand how computers master the art of processing digital images and videos to mimic human activities. Starting with an introduction to the OpenCV library, you'll learn how to write your first script using basic image processing operations. You'll then get to grips with essential image and video processing techniques such as histograms, contours, and face processing. As you progress, you'll become familiar with advanced computer vision and deep learning concepts, such as object detection, tracking, and recognition, and finally shift your focus from 2D to 3D visualization. This CV course will enable you to experiment with camera calibration and explore both passive and active canonical 3D reconstruction methods. By the end of this book, you'll have developed the practical skills necessary for building powerful applications to solve computer vision problems. What you will learn Access and manipulate pixels in OpenCV using BGR and grayscale images Create histograms to better understand image content Use contours for shape analysis, object detection, and recognition Track objects in videos using a variety of trackers available in OpenCV Discover how to apply face recognition tasks using computer vision techniques Visualize 3D objects in point clouds and polygon meshes using Open3D Who this book is for If you are a researcher, developer, or data scientist looking to automate everyday tasks using computer vision, this workshop is for you. A basic understanding of Python and deep learning will help you to get the most out of this workshop.
    Note: Online resource; Title from title page (viewed July 27, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks ; local
    Abstract: Many people think leadership is a higher calling that resides exclusively with managers who practice or follow big compelling leadership philosophies. But what's most important for leadership is principled consistency, because small things done well time and again without fail build trust and respect within a team. Using stories from his time at Netflix, Apple, and Slack, Michael Lopp presents a series of practices to help you build leadership skills. You'll learn how to create teams that are highly productive, highly respected, and highly trusted. Lopp has been speaking and writing about this topic for over a decade. He maintains a Slack channel with nearly 12000 members. In this practical audio book, Lopp illustrates the leadership skills he learned from exceptional leaders at three dynamic companies: Act I: As a manager under James Barksdale at Netflix Act II: As a senior manager/director under Steve Jobs at Apple Act III: As an executive with Stewart Butterfield at Slack
    Note: Online resource; Title from title screen (viewed June 26, 2020) , Mode of access: World Wide Web.
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  • 85
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800201217
    Language: English
    Pages: 1 online resource (174 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Cut through the noise and get real results with this workshop for beginners. Use a project-based approach to exploring machine learning with TensorFlow and Keras. Key Features Understand the nuances of setting up a deep learning programming environment Gain insights into the common components of a neural network and its essential operations Get to grips with deploying a machine learning model as an interactive web application with Flask Book Description Machine learning gives computers the ability to learn like humans. It is becoming increasingly transformational to businesses in many forms, and a key skill to learn to prepare for the future digital economy. As a beginner, you'll unlock a world of opportunities by learning the techniques you need to contribute to the domains of machine learning, deep learning, and modern data analysis using the latest cutting-edge tools. The Applied TensorFlow and Keras Workshop begins by showing you how neural networks work. After you've understood the basics, you will train a few networks by altering their hyperparameters. To build on your skills, you'll learn how to select the most appropriate model to solve the problem in hand. While tackling advanced concepts, you'll discover how to assemble a deep learning system by bringing together all the essential elements necessary for building a basic deep learning system - data, model, and prediction. Finally, you'll explore ways to evaluate the performance of your model, and improve it using techniques such as model evaluation and hyperparameter optimization. By the end of this book, you'll have learned how to build a Bitcoin app that predicts future prices, and be able to build your own models for other projects. What you will learn Familiarize yourself with the components of a neural network Understand the different types of problems that can be solved using neural networks Explore different ways to select the right architecture for your model Make predictions with a trained model using TensorBoard Discover the components of Keras and ways to leverage its features in your model Explore how you can deal with new data by learning ways to retrain your model Who this book is for If you are a data scientist or a machine learning and deep learning enthusiast, who is looking to design, train, and deploy TensorFlow and Keras models into real-world applications, then this workshop is for you. Knowledge of computer science and machine learning concepts and experience in ...
    Note: Online resource; Title from title page (viewed July 30, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800202504
    Language: English
    Pages: 1 online resource (352 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Designed with beginners in mind, this workshop helps you make the most of Python libraries and the Jupyter Notebook's functionality to understand how data science can be applied to solve real-world data problems. Key Features Gain useful insights into data science and machine learning Explore the different functionalities and features of a Jupyter Notebook Discover how Python libraries are used with Jupyter for data analysis Book Description From banking and manufacturing through to education and entertainment, using data science for business has revolutionized almost every sector in the modern world. It has an important role to play in everything from app development to network security. Taking an interactive approach to learning the fundamentals, this book is ideal for beginners. You'll learn all the best practices and techniques for applying data science in the context of real-world scenarios and examples. Starting with an introduction to data science and machine learning, you'll start by getting to grips with Jupyter functionality and features. You'll use Python libraries like sci-kit learn, pandas, Matplotlib, and Seaborn to perform data analysis and data preprocessing on real-world datasets from within your own Jupyter environment. Progressing through the chapters, you'll train classification models using sci-kit learn, and assess model performance using advanced validation techniques. Towards the end, you'll use Jupyter Notebooks to document your research, build stakeholder reports, and even analyze web performance data. By the end of The Applied Data Science Workshop, you'll be prepared to progress from being a beginner to taking your skills to the next level by confidently applying data science techniques and tools to real-world projects. What you will learn Understand the key opportunities and challenges in data science Use Jupyter for data science tasks such as data analysis and modeling Run exploratory data analysis within a Jupyter Notebook Visualize data with pairwise scatter plots and segmented distribution Assess model performance with advanced validation techniques Parse HTML responses and analyze HTTP requests Who this book is for If you are an aspiring data scientist who wants to build a career in data science or a developer who wants to explore the applications of data science from scratch and analyze data in Jupyter using Python libraries, then this book is for you. Although a brief understanding of Python programming and ...
    Note: Online resource; Title from title page (viewed July 22, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800563070
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 hr., 9 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Build a coffee shop application for iOS using Xcode 11, SwiftUI, iOS 13, Firebase Firestore, and Swift 5 About This Video Learn how to write clean and readable code Build a professional iOS application Explore SwiftUI In Detail In this course, you'll build a real online coffee ordering application using SwiftUI. This course is for iOS developers who know their way around Xcode and are familiar with Swift, SwiftUI, and application development. You'll learn how to build an application from the ground up alongside the instructor using all the assets provided. The course explains every line of code and shows you how to write clean and readable code and structure your app development in such a way that even if you get back to your code in a few years, you'll be able to read and understand it clearly. Even if you are an experienced iOS developer, you'll learn something new in this course.
    Note: Online resource; Title from title screen (viewed July 27, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781789959161
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 hr., 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get to grips with TensorFlow 2.0 and scikit-learn About This Video Embark on your ML journey using the best machine learning practices and the powerful features of TensorFlow 2.0 and scikit-learn Learn to work with unstructured data, images, and noisy text input, and implement the latest Natural Language Processing models and methods Explore supervised and unsupervised algorithms and put them into practice using mini implementation projects as a basis for real-world applications In Detail Have you been looking for a course that teaches you effective machine learning in scikit-learn and TensorFlow 2.0? Or have you always wanted an efficient and skilled working knowledge of how to solve problems that can't be explicitly programmed through the latest machine learning techniques? If you're familiar with pandas and NumPy, this course will give you up-to-date and detailed knowledge of all practical machine learning methods, which you can use to tackle most tasks that cannot easily be explicitly programmed; you'll also be able to use algorithms that learn and make predictions or decisions based on data. The theory will be underpinned with plenty of practical examples, and code example walk-throughs in Jupyter notebooks. The course aims to make you highly efficient at constructing algorithms and models that perform with the highest possible accuracy based on the success output or hypothesis you've defined for a given task. By the end of this course, you will be able to comfortably solve an array of industry-based machine learning problems by training, optimizing, and deploying models into production. Being able to do this effectively will allow you to create successful prediction and decisions for the task in hand (for example, creating an algorithm to read a labeled dataset of handwritten digits).
    Note: Online resource; Title from title screen (viewed June 30, 2020) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 36 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Watch the OSCON Live Coding-Go, Rust, and Python event here. This three-part series of half-day online events gives attendees an overarching perspective of software development from which to make decisions that strengthen and grow companies and industries, a deep knowledge of key open source technologies to make it happen, and a community in which both they and their companies can thrive. In part 2, Cloud Strategies and Implementation, we wanted to explore the cloud. In the blink of an eye, the cloud has become a pillar of software development. And big vendors, including Amazon, Microsoft, and Google, keep pushing the envelope, adding more and more services. Join us to learn how cloud strategies and their implementation can impact your business. This event is sponsored by Capital One and features spotlights on the Open Source Initiative and the Python Software Foundation. About the presenters: Rachel Roumeliotis is vice president of content strategy at O'Reilly, where she leads an editorial team that covers a wide variety of programming topics ranging from full stack to open source in the enterprise to emerging programming languages. She's been a programming chair for the O'Reilly OSCON, Fluent, Strata, Software Architecture, and Security Conferences. She's currently the programming chair for the OSCON and Strata Data & AI Superstream Series on O'Reilly online learning. She's been working in technical publishing for 10 years, acquiring content in many areas including mobile programming, UX, computer security, and AI. Kelsey Hightower has worn every hat possible throughout his career in tech and enjoys leadership roles focused on making things happen and shipping software. Kelsey is a strong open source advocate focused on building simple tools that make people smile. When he isn't slinging Go code, you can catch him giving technical workshops covering everything from programming to system administration. Forrest Brazeal is an enterprise cloud architect, speaker, and community advocate. Currently a senior manager at A Cloud Guru, he spent years designing applications for the cloud at Infor and Trek10. One of the original AWS Serverless Heroes, Forrest was also named one of Jefferson Frank's "Top 7 Global AWS Experts" in 2019. His first book, The Read-Aloud Cloud, is coming from Wiley in 2020. Josh Simmons is the president of the Open Source Initiative. John Mark Walker is the director of the Open Source Program Office at Capital One. Previo...
    Note: Online resource; Title from title screen (viewed July 29, 2020) , Mode of access: World Wide Web.
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  • 90
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800569638
    Language: English
    Pages: 1 online resource (1 video file, approximately 12 hr., 4 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Create a real-world backend for a Bootcamp directory app About This Video Gain proficiency in building an in-depth backend API for DevCamper Work with Node, Express, and MongoDB Create a custom database seeder using JSON files In Detail This course will help you to create an extensive, in-depth backend API for DevCamper, a Bootcamp directory app. You'll learn how to deploy a professional API with documentation from the ground up. The course starts with an overview of the project and an introduction to the HTTP essentials and Postman client. You'll study HTTP status codes and how to send data to the server. The next section of the course will take you through the DevCamper project and show you how to create routes and responses in Express along with creating controller methods. As you make progress, you'll learn how to create, fetch, and update and delete Bootcamps. You'll also get to grips with the concepts of authentication, users, and permissions. By the end of the course, you'll be able to build a real-world backend RESTful API for a Bootcamp directory app and have learned about advanced Mongoose queries.
    Note: Online resource; Title from title screen (viewed June 30, 2020) , Mode of access: World Wide Web.
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  • 91
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838646677
    Language: English
    Pages: 1 online resource (810 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Embrace modern solutions to enhance collaboration, teamwork, robotic process automation, and business intelligence in your organization using powerful Microsoft 365 services (formerly Office 365) Key Features Gain a complete overview of popular Microsoft 365 services using practical recipes and expert insights Collaborate with your team and external users effectively using SharePoint and Teams Create no-code and low-code solutions, such as bots, forms, dashboards, and workflows, using the Power platform Book Description Microsoft 365 in an integrated suite that provides intelligent tools for managing everyday organizational tasks like content management, communication, creating reports, and automating business processes. With this book, you'll get to grips with popular apps from Microsoft, with a focus on enabling workspace collaboration and productivity using Microsoft SharePoint Online, Teams, and the Power Platform to name a few. In addition to guiding you through the implementation of Microsoft 365 apps, this practical guide helps you to learn from a Microsoft consultant's extensive experience of working with the Microsoft business suite. Starting with a quick overview of the M365 ecosystem, the book covers recipes for implementing SharePoint Online for various content management tasks. You'll learn how to create sites for your organization and enhance collaboration across the business and then see how you can boost productivity with apps such as Microsoft Teams, Power Platform, Planner, Delve, and M365 Groups. Using a step-by-step approach, you'll also find out how to use the Power Platform efficiently, making the most of Microsoft PowerApps, Power Automate, PowerBI, and Power Virtual Agents. Finally, the book focuses on the SharePoint framework, which helps you to build custom Teams and SharePoint solutions. By the end of the book, you'll be equipped with the skills required to set up Microsoft 365 and SharePoint Online and be ready to enhance business productivity using a variety of tools. What you will learn Get to grips with a wide range of apps and cloud services in Microsoft 365 Discover ways to use SharePoint Online to create and manage content Store and share documents using SharePoint Online Improve your search experience with Microsoft Search Leverage the Power Platform to build business solutions with Power Automate, Power Apps, Power BI, and Power Virtual Agents Enhance native capabilities in SharePoint and Teams using the SPF...
    Note: Online resource; Title from title page (viewed June 26, 2020) , Mode of access: World Wide Web.
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  • 92
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 1 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The journey from developer to software architect is a difficult one. Join us for this edition of Meet the Expert with Mark Richards and Neal Ford, experienced hands-on software architects and coauthors of Fundamentals of Software Architecture , to learn key tips, techniques, and resources to help you along the way. Recorded on July 6, 2020. See the original event page for resources for further learning or watch recordings of past events . O'Reilly Meet the Expert explores emerging business and technology topics and ideas through a series of one-hour interactive events. You'll engage in a live conversation with experts, sharing your questions and ideas while hearing their unique perspectives, insights, fears, and predictions.
    Note: Online resource; Title from title screen (viewed July 7, 2020) , Mode of access: World Wide Web.
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  • 93
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838643416
    Language: English
    Pages: 1 online resource (626 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Gain the expertise you need to build custom application frameworks and responsive and visually appealing user interfaces with WPF, C#, and .NET Key Features Discover a smarter way of working with WPF using the MVVM software architectural pattern Create your own lightweight application framework to build your future applications upon Understand data binding and learn how to use it in an application Book Description Microsoft Windows Presentation Foundation (WPF) provides several libraries and APIs for developers to create engaging user experiences. This book features a wide range of simple through to complex examples to demonstrate how to develop enterprise-grade applications for Windows desktop with WPF. This updated second edition of Mastering Windows Presentation Foundation starts by covering the benefits of using the Model-View-ViewModel (MVVM) software architectural pattern with WPF, before guiding you through debugging your WPF apps. The book will then take you through the application architecture and building the foundation layer for your apps. As you advance, you'll get to grips with data binding, explore the various built-in WPF controls, and customize them to suit your requirements. You'll learn how to create custom controls to meet your needs when the built-in functionality is not enough. You'll also learn how to enhance your applications using practical animations, stunning visuals, and responsive data validation. To ensure that your app is not only interactive but also efficient, you'll focus on improving application performance, and finally, discover the different methods for deploying your applications. By the end of this book, you'll be proficient in using WPF for developing efficient yet robust user interfaces. What you will learn Discover MVVM and how it assists development with WPF Implement your own custom application framework Become proficient with Data Binding Understand how to adapt the built-in controls Get up to speed with animations Implement responsive data validation Create visually appealing user interfaces Improve application performance Learn how to deploy your applications Who this book is for This Windows book is for developers with basic to intermediate-level knowledge of Windows Presentation Foundation and for those interested in simply enhancing their WPF skills. If you're looking to learn more about application architecture and designing user interfaces in a visually appealing manner, you'll find this book ...
    Note: Online resource; Title from title page (viewed March 30, 2020) , Mode of access: World Wide Web.
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  • 94
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (642 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Go beyond simply learning Kubernetes fundamentals and its deployment, and explore more advanced concepts, including serverless computing and service meshes with the latest updates Key Features Master Kubernetes architecture and design to build and deploy secure distributed applications Learn advanced concepts like autoscaling, cluster federation, serverless computing, and service mesh integration for observability Explore Kubernetes 1.18 features and its rich ecosystem of tools like Kubectl, Knative, and Helm Book Description The third edition of Mastering Kubernetes is updated with the latest tools and code enabling you to learn Kubernetes 1.18's latest features. This book primarily concentrates on diving deeply into complex concepts and Kubernetes best practices to help you master the skills of designing and deploying large clusters on various cloud platforms. The book trains you to run complex stateful microservices on Kubernetes including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backend. With the two new chapters, you will gain expertise in serverless computing and utilizing service meshes. As you proceed through the chapters, you will explore different options for network configuration and learn to set up, operate, and troubleshoot Kubernetes networking plugins through real-world use cases. Furthermore, you will understand the mechanisms of custom resource development and its utilization in automation and maintenance workflows. By the end of this Kubernetes book, you will graduate from an intermediate to advanced Kubernetes professional. What you will learn Master the fundamentals of Kubernetes architecture and design Build and run stateful applications and complex microservices on Kubernetes Use tools like Kubectl, secrets, and Helm to manage resources and storage Master Kubernetes Networking with load balancing options like Ingress Achieve high-availability Kubernetes clusters Improve Kubernetes observability with tools like Prometheus, Grafana, and Jaeger Extend Kubernetes working with Kubernetes API, plugins, and webhooks Who this book is for If you are a system administrator or a cloud developer with working knowledge of Kubernetes and are keen to master its advanced features, along with learning everything from building microservices to utilizing service meshes, Mastering Kubernetes is for you. Basic familiarity with networking concepts will be helpful.
    Note: Online resource; Title from title page (viewed June 30, 2020) , Mode of access: World Wide Web.
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  • 95
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781839217715
    Language: English
    Pages: 1 online resource (820 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Key Features Design, train, and evaluate machine learning algorithms that underpin automated trading strategies Create a research and strategy development process to apply predictive modeling to trading decisions Leverage NLP and deep learning to extract tradeable signals from market and alternative data Book Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models. This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research. This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples. By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance. What you will learn Leverage market, fundamental, and alternative text and image data Research and evaluate alpha factors using statistics, Alphalens, and SHAP values Implement machine learning techniques to solve investment and trading problems Backtest and evaluate trading strategies based on machine learning using Zipline and Backtrader Optimize portfolio risk and performance analysis using pandas, NumPy, and pyfolio Create a pairs trading strategy based on cointegration for US equities and ETFs Train a gradient boosting model to predict intraday returns using AlgoSeek's high-quality trades and quot...
    Note: Online resource; Title from title page (viewed July 31, 2020) , Mode of access: World Wide Web.
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  • 96
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800567429
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 15 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get up to speed with effectively securing your cloud systems About This Video Understand the key differences between different hosting environments Learn the basics of cloud computing and cloud architecture Find out how to secure cloud systems with the help of Microsoft Azure In Detail Every organization is now migrating to the cloud to save money, but is it really safe? If you're looking to learn about the cloud and how to effectively secure it, as well as build your own virtualized networks inside the Microsoft Azure cloud computing platform, then you're in the right place! In this course, you will learn the fundamentals of cloud-based service technologies, as well as how to secure them. All along, you'll not only learn the theory but also get hands-on experience. You'll understand how to set up your own cloud architecture and protect your cloud systems. As you progress, this course will give you the opportunity to apply your knowledge in the real world by creating your own virtualized network inside the Microsoft Azure cloud computing platform. To build on your knowledge further, you'll get to grips with the difference between on-premise and hosted solutions, as well as SaaS, PaaS, and IaaS. Later, you'll cover single-tenancy and multi-tenancy solutions, along with their security concerns. By the end of this course, you will have gained the skills you need to confidently secure your cloud systems with Microsoft Azure.
    Note: Online resource; Title from title screen (viewed June 29, 2020) , Mode of access: World Wide Web.
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  • 97
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (26 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Machine learning is the key to digital transformation for many businesses today. This process accelerates your company's ability to engage customers, optimize operations, empower employees, and fundamentally change and transform products. One of the best ways to get started is with Automated Machine Learning, a quick and efficient method to jumpstart your organization's use of machine learning. In this report, AI leader Wee Hyong Tok explains how Automated Machine Learning has successfully internalized the habits of experienced data scientists to help you develop machine learning solutions for your business much faster than if you started from scratch. You'll learn how to automate the process of selecting the best machine learning models, understand how to tune them, and more. Through several examples, this report will help you: Understand how Automated Machine Learning works-and how and why this process was developed Explore the business importance of Automated Machine Learning Learn how Automated Machine Learning performs autofeaturization, model selection, and hyperparameter sweeps
    Note: Online resource; Title from title page (viewed July 25, 2020) , Mode of access: World Wide Web.
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  • 98
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (346 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Enhance your simulation modeling skills by creating and analyzing digital prototypes of a physical model using Python programming with this comprehensive guide Key Features Learn to create a digital prototype of a real model using hands-on examples Evaluate the performance and output of your prototype using simulation modeling techniques Understand various statistical and physical simulations to improve systems using Python Book Description Simulation modeling helps you to create digital prototypes of physical models to analyze how they work and predict their performance in the real world. With this comprehensive guide, you'll understand various computational statistical simulations using Python. Starting with the fundamentals of simulation modeling, you'll understand concepts such as randomness and explore data generating processes, resampling methods, and bootstrapping techniques. You'll then cover key algorithms such as Monte Carlo simulations and Markov decision processes, which are used to develop numerical simulation models, and discover how they can be used to solve real-world problems. As you advance, you'll develop simulation models to help you get accurate results and enhance decision-making processes. Using optimization techniques, you'll learn to modify the performance of a model to improve results and make optimal use of resources. The book will guide you in creating a digital prototype using practical use cases for financial engineering, prototyping project management to improve planning, and simulating physical phenomena using neural networks. By the end of this book, you'll have learned how to construct and deploy simulation models of your own to overcome real-world challenges. What you will learn Gain an overview of the different types of simulation models Get to grips with the concepts of randomness and data generation process Understand how to work with discrete and continuous distributions Work with Monte Carlo simulations to calculate a definite integral Find out how to simulate random walks using Markov chains Obtain robust estimates of confidence intervals and standard errors of population parameters Discover how to use optimization methods in real-life applications Run efficient simulations to analyze real-world systems Who this book is for Hands-On Simulation Modeling with Python is for simulation developers and engineers, model designers, and anyone already familiar with the basic computational methods that are used t...
    Note: Online resource; Title from title page (viewed July 17, 2020) , Mode of access: World Wide Web.
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  • 99
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838826048
    Language: English
    Pages: 1 online resource (384 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Integrate scikit-learn with various tools such as NumPy, pandas, imbalanced-learn, and scikit-surprise and use it to solve real-world machine learning problems Key Features Delve into machine learning with this comprehensive guide to scikit-learn and scientific Python Master the art of data-driven problem-solving with hands-on examples Foster your theoretical and practical knowledge of supervised and unsupervised machine learning algorithms Book Description Machine learning is applied everywhere, from business to research and academia, while scikit-learn is a versatile library that is popular among machine learning practitioners. This book serves as a practical guide for anyone looking to provide hands-on machine learning solutions with scikit-learn and Python toolkits. The book begins with an explanation of machine learning concepts and fundamentals, and strikes a balance between theoretical concepts and their applications. Each chapter covers a different set of algorithms, and shows you how to use them to solve real-life problems. You'll also learn about various key supervised and unsupervised machine learning algorithms using practical examples. Whether it is an instance-based learning algorithm, Bayesian estimation, a deep neural network, a tree-based ensemble, or a recommendation system, you'll gain a thorough understanding of its theory and learn when to apply it. As you advance, you'll learn how to deal with unlabeled data and when to use different clustering and anomaly detection algorithms. By the end of this machine learning book, you'll have learned how to take a data-driven approach to provide end-to-end machine learning solutions. You'll also have discovered how to formulate the problem at hand, prepare required data, and evaluate and deploy models in production. What you will learn Understand when to use supervised, unsupervised, or reinforcement learning algorithms Find out how to collect and prepare your data for machine learning tasks Tackle imbalanced data and optimize your algorithm for a bias or variance tradeoff Apply supervised and unsupervised algorithms to overcome various machine learning challenges Employ best practices for tuning your algorithm's hyper parameters Discover how to use neural networks for classification and regression Build, evaluate, and deploy your machine learning solutions to production Who this book is for This book is for data scientists, machine learning practitioners, and anyone who wants to lea...
    Note: Online resource; Title from title page (viewed July 24, 2020) , Mode of access: World Wide Web.
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  • 100
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800208131
    Language: English
    Pages: 1 online resource (454 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Resolve the black box models in your AI applications to make them fair, trustworthy, and secure. Familiarize yourself with the basic principles and tools to deploy Explainable AI (XAI) into your apps and reporting interfaces. Key Features Learn explainable AI tools and techniques to process trustworthy AI results Understand how to detect, handle, and avoid common issues with AI ethics and bias Integrate fair AI into popular apps and reporting tools to deliver business value using Python and associated tools Book Description Effectively translating AI insights to business stakeholders requires careful planning, design, and visualization choices. Describing the problem, the model, and the relationships among variables and their findings are often subtle, surprising, and technically complex. Hands-On Explainable AI (XAI) with Python will see you work with specific hands-on machine learning Python projects that are strategically arranged to enhance your grasp on AI results analysis. You will be building models, interpreting results with visualizations, and integrating XAI reporting tools and different applications. You will build XAI solutions in Python, TensorFlow 2, Google Cloud's XAI platform, Google Colaboratory, and other frameworks to open up the black box of machine learning models. The book will introduce you to several open-source XAI tools for Python that can be used throughout the machine learning project life cycle. You will learn how to explore machine learning model results, review key influencing variables and variable relationships, detect and handle bias and ethics issues, and integrate predictions using Python along with supporting the visualization of machine learning models into user explainable interfaces. By the end of this AI book, you will possess an in-depth understanding of the core concepts of XAI. What you will learn Plan for XAI through the different stages of the machine learning life cycle Estimate the strengths and weaknesses of popular open-source XAI applications Examine how to detect and handle bias issues in machine learning data Review ethics considerations and tools to address common problems in machine learning data Share XAI design and visualization best practices Integrate explainable AI results using Python models Use XAI toolkits for Python in machine learning life cycles to solve business problems Who this book is for This book is not an introduction to Python programming or machine learning concepts. Yo...
    Note: Online resource; Title from title page (viewed July 31, 2020) , Mode of access: World Wide Web.
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