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  • Safari, an O'Reilly Media Company.  (1,300)
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  • Andersen, Hans Christian
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  • 1
    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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  • 2
    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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  • 3
    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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  • 4
    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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  • 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 (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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  • 7
    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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  • 8
    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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  • 9
    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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  • 10
    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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  • 11
    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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  • 12
    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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  • 13
    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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  • 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 (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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  • 16
    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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  • 17
    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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  • 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
    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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  • 20
    Online Resource
    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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  • 21
    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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  • 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 (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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  • 24
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484255902
    Language: English
    Pages: 1 online resource (410 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Design and write simple and efficient T-SQL code in SQL Server 2019 and beyond. Writing T-SQL that pulls back correct results can be challenging. This book provides the help you need in writing T-SQL that performs fast and is easy to maintain. You also will learn how to implement version control, testing, and deployment strategies. Hands-on examples show modern T-SQL practices and provide straightforward explanations. Attention is given to selecting the right data types and objects when designing T-SQL solutions. Author Elizabeth Noble teaches you how to improve your T-SQL performance through good design practices that benefit programmers and ultimately the users of the applications. You will know the common pitfalls of writing T-SQL and how to avoid those pitfalls going forward. What You Will Learn Choose correct data types and database objects when designing T-SQL Write T-SQL that searches data efficiently and uses hardware effectively Implement source control and testing methods to streamline the deployment process Design T-SQL that can be enhanced or modified with less effort Plan for long-term data management and storage Who This Book Is For Database developers who want to improve the efficiency of their applications, and developers who want to solve complex query and data problems more easily by writing T-SQL that performs well, brings back correct results, and is easy for other developers to understand and maintain
    Note: Online resource; Title from title page (viewed February 12, 2020) , 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 (175 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: One challenge with big data and other secondary analytics initiatives is getting access to large and diverse data. Secondary analytics allow insights beyond the questions that data initially collected can answer. This practical book introduces techniques for generating synthetic data-fake data generated from real data-that can provide secondary analytics to help you understand customer behaviors, develop new products, or generate new revenue. CTOs, CIOs, and directors of analytics will learn how synthetic data generation provides a way to make such data broadly available for secondary purposes while addressing many privacy concerns. Analysts will learn the principles and steps of synthetic data generation from real data sets. Business leaders will examine how synthetic data can help accelerate time to a solution.
    Note: Online resource; Title from title page (viewed July 25, 2020) , Mode of access: World Wide Web.
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  • 26
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484255520
    Language: English
    Pages: 1 online resource (412 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Understand how to use equity market metrics such as the price/earnings ratio (and other multiples) to value public and private enterprises. This essential book gives you the tools you need to identify and qualify investments and assess business strategy and performance. Author George Calhoun, Founding Director of the Quantitative Finance Program at Stevens Institute of Technology, shows you how to use metrics to appraise mergers, acquisitions, and spin-offs. You will be able to shed light on financial market conditions, benchmark fair value assessments, and check and calibrate complex cash flow models. Market multiples share a peculiar construction: they are based on an explicit apples-to-oranges comparison of market prices with accounting fundamentals, combining data derived from two very different sources and methodologies. This creates ambiguities in interpretation that can complicate the application of these metrics for the many purposes. Multiples are thus easy to construct, but they can be difficult to interpret. The meanings of certain multiples have evolved over time, and new-and-improved versions have been introduced. The field is becoming more complex and the question of which metrics perform best can be a source of controversy. What You Will Learn Know the definitions, interpretations, and applications of all major market ratios, including: price/earnings (trailing and forward), cyclically adjusted price/earnings, cash-adjusted price/earnings, EV/EBITDA, price/sales, dividend yield, and many more Examine the factors that drive the values of ratios from firm level (such as earnings growth, leverage, and governance) to market level (such as inflation, tax and fiscal policy, monetary policy, and international characteristics) Apply metrics in: investment analysis, index construction, factor models, sum-of-the-parts analysis of corporate structures, and detection of asset bubbles Who This Book Is For Professionals at all levels working in the finance industry, especially in fields related to investment management, trading, and investment banking who are involved with valuation and assessing and advising on corporate transactions and interpreting market trends, and university students in finance-related programs at the undergraduate and graduate levels
    Note: Online resource; Title from title page (viewed February 3, 2020) , Mode of access: World Wide Web.
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  • 27
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    Online Resource
    [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: AI is complicated, but cloud providers have stepped in to make it easier, offering free (or affordable) state-of-the-art models and training tools to get you started. In this book, AI novices will learn how to use Google's AI-powered cloud services to do everything from analyzing text, images, and video to creating a chatbot. Author Micheal Lanham takes you step-by-step through building models, training them, and then expanding on them to accomplish increasingly complex tasks. If you have a good grasp of math and the Python language, this book will get you up and running with Google Cloud Platform, whether you're looking to build a simple business AI application or an AI assistant. Learn key concepts for data science, machine learning, and deep learning Explore tools like Video AI, AutoML Tables, the Cloud Inference API, the Recommendations AI API, and BigQuery ML Perform image recognition using CNNs, transfer learning, and GANs Build a simple language processor using embeddings, RNNs, and Bidirectional Encoder Representations from Transformers (BERT) Use Dialogflow to build a chatbot Analyze video with automatic video indexing, face detection, and TF Hub
    Note: Online resource; Title from title page (viewed December 25, 2020) , Mode of access: World Wide Web.
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  • 28
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (45 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: One of the newer players in the build tool field is Bazel, the open source variant of Google's powerful internal build tool Blaze. After years of refinement, the first production-ready version, Bazel 1.0, was released in October 2019. Is this tool right for your organization? This report explores the use cases, features, and usability concerns of Bazel, including its benefits and shortcomings. Author Benjamin Muschko uses concrete Java-based examples to give you a first taste of Bazel's syntax and functionality. The report also covers advanced features like remote caching and execution. You'll be able to determine hands-on if Bazel is a good fit for your organization and come away with the knowledge and resources to start using this versatile, polyglot build tool for your project. Set up a Java-based project, compile the source code, and run the application Define dependencies on other packages and external libraries Perform automated tests for Java test code Extend Bazel's built-in capabilities by custom functionality Improve build performance and scalability through remote caching and execution Execute Bazel projects on continuous integration servers
    Note: Online resource; Title from title page (viewed March 25, 2020) , Mode of access: World Wide Web.
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  • 29
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : SitePoint | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (141 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Despite working on the web every day, few developers have a good word to say about the monster they've created. Achingly slow sites with annoying overlays, cookie agreements, instant notifications, and obtrusive ads litter the web landscape. While there may be some excuses for complex web applications, there's little justification for sluggish content-based and ecommerce sites. People are notoriously impatient, and an unresponsive site receives fewer visitors and conversions. This practical, short book provides advice, tips, and best practice for improving website performance, ranging from quick, five-minute configuration changes to major website overhauls. We primarily concentrate on front-end activities and server configurations to optimize the code delivered to a browser. Some back-end tips are provided, but this is often specific to your application, framework, database, and usage patterns. Server-side performance can often be improved with additional or more powerful computing resources. Ideally, everyone involved in a project would consider performance from the start. Somewhat understandably, that rarely occurs, because no one can appreciate the speed of a website or application before it's been created. Many of the tips contained in this book can therefore be applied after your project has been delivered.
    Note: Online resource; Title from title page (viewed February 11, 2020) , Mode of access: World Wide Web.
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  • 30
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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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  • 31
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    [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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  • 32
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    Online Resource
    [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: There's more to chaos engineering than deliberately breaking stuff in production. With this book, QA engineers as well as program and product managers will examine the theory, history, and implementation of this full-fledged software engineering discipline. Chaos experts Casey Rosenthal and Nora Jones will bring you up to speed on this practice for finding failures within your application, network, and infrastructure. As the software industry continues to move toward microservices and other complex, distributed systems, fewer people are able to hold a working picture of the entire system in their minds. Complexity can't be removed from these systems, but new methodologies allow engineers to navigate the complexity while optimizing for business goals such as feature velocity, performance, and fault tolerance. This book guides you through chaos engineering and demonstrates how this methodology can help you optimize for availability.
    Note: Online resource; Title from title page (viewed May 25, 2020) , Mode of access: World Wide Web.
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  • 33
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (272 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Prepare for the future of cloud infrastructure: Distributed Services Platforms By moving service modules closer to applications, Distributed Services (DS) Platforms will future-proof cloud architectures-improving performance, responsiveness, observability, and troubleshooting. Network pioneer Silvano Gai demonstrates DS Platforms' remarkable capabilities and guides you through implementing them in diverse hardware. Focusing on business benefits throughout, Gai shows how to provide essential shared services such as segment routing, NAT, firewall, micro-segmentation, load balancing, SSL/TLS termination, VPNs, RDMA, and storage-including storage compression and encryption. He also compares three leading hardware-based approaches-Sea of Processors, FPGAs, and ASICs-preparing you to evaluate solutions, ask the right questions, and plan strategies for your environment. Understand the business drivers behind DS Platforms, and the value they offer See how modern network design and virtualization create a foundation for DS Platforms Achieve unprecedented scale through domain-specific hardware, standardized functionalities, and granular distribution Compare advantages and disadvantages of each leading hardware approach to DS Platforms Learn how P4 Domain-Specific Language and architecture enable high-performance, low-power ASICs that are data-plane-programmable at runtime Distribute cloud security services, including firewalls, encryption, key management, and VPNs Implement distributed storage and RDMA services in large-scale cloud networks Utilize Distributed Services Cards to offload networking processing from host CPUs Explore the newest DS Platform management architectures Building a Future-Proof Cloud Architecture is for network, cloud, application, and storage engineers, security experts, and every technology professional who wants to succeed with tomorrow's most advanced service architectures.
    Note: Online resource; Title from title page (viewed January 31, 2020) , Mode of access: World Wide Web.
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  • 34
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484256398
    Language: English
    Pages: 1 online resource (402 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Get started creating video games using Unreal Engine 4 (UE4) and learning the fundamentals of game development. Through hands-on, step-by-step tutorials, you will learn to design engaging environments and a build solid foundation for more complex games. Discover how to utilize the 3D game design software behind the development of immensely popular games for PC, console, and mobile. Beginning Unreal Game Development steers you through the fundamentals of game development with UE4 to design environments that both engage the player and are aesthetically pleasing. Author David Nixon shows you how to script logic, define behaviors, store data, and create characters. You will learn to create user interfaces, such as menus, load screens, and head-up displays (HUDs), and manipulate audio to add music, sound effects, and dialogue to your game. The book covers level editors, actor types, blueprints, character creation and control, and much more. Throughout the book, you'll put theory into practice and create an actual game using a series of step-by-step tutorials. With a clear, step-by-step approach, Beginning Unreal Game Development builds up your knowledge of Unreal Engine 4 so you can start creating and deploying your own 3D video games in no time. What You Will Learn Learn the fundamentals of game design Understand how to use Unreal Engine 4 Design amazing levels for your characters to play in Script logic to control the behavior of the world you create Who This Book Is For This book is for beginners with no prior game design or programming experience. It is also intended for video game enthusiasts who are brand-new to the world of game development and want to learn how to design a game from scratch using UE4.
    Note: Online resource; Title from title page (viewed February 14, 2020) , Mode of access: World Wide Web.
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  • 35
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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: While several market-leading companies have successfully transformed through data- and AI-driven approaches to business, the vast majority have yet to reap the benefits. How can your business and analytics units gain a competitive advantage by capturing the potential of this predictive revolution? This practical guide presents a battle-tested method to help you translate business decisions into tractable descriptive, predictive, and prescriptive problems. Author Daniel Vaughan shows practitioners of data science and others interested in using AI not only how to ask the right questions but also how to generate value from data and analytics using modern AI technologies and decision theory principles. You'll explore several use cases common to many enterprises, complete with examples you can apply when working to solve your own issues. With this book, you'll learn how to: Break business decisions into stages and use predictive or prescriptive methods on each stage Identify human biases when working with uncertainty Customize optimal decisions to different customers using predictive and prescriptive methods Ask business questions with high potential for value creation through AI and data-driven methods Simplify complexity to tackle difficult business decisions with current predictive and prescriptive technologies
    Note: Online resource; Title from title page (viewed September 25, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : MIT Sloan Management Review | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (4 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: We too often squeeze our worries, fears, and needs through the funnel of aggression. That is usual in business - hence our fondness for the language of warfare. But the COVID-19 crisis is not business as usual, and leaders need better ways to show up and care for their people.
    Note: Online resource; Title from title page (viewed May 20, 2020) , Mode of access: World Wide Web.
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  • 37
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    [Erscheinungsort nicht ermittelbar] : Berrett-Koehler Publishers | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (240 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: This balanced guide to agility gets past the hype and frustration to help frustrated leaders transform their agile transformations. Agile transformations are supposed to make organizations modern, competitive, and relevant. But in the well-intentioned effort to move into the future, change leaders find themselves frustrated by pushback, limited impact, poor practices, and unfair criticism. What's going on? Jesse Fewell's book cuts through the "quick-fix" hype of agile theory and explains a recurring transformational pattern that unpacks what holds organizations back. The boost is the initial gains from logical first steps; the barrier is the unavoidable roadblock that must come next; and the rebound is the way forward to further gains by leaning against the concept of the original boost. With these counterintuitive rebounds, Fewell identifies seven leadership moves that can be used to unblock stalled agile transformations. No, your transformation is not a failure. It turns out the buy-in, the talent, the alignment, and the growth you need to break through are already in front of you; it's all simply hidden under the surface-undiscovered, unutilized, and untapped.
    Note: Online resource; Title from title page (viewed July 21, 2020) , Mode of access: World Wide Web.
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  • 38
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : MIT Sloan Management Review | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (8 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: To disrupt, or not to disrupt? That is a very important question. Rather than single-mindedly heading down the path of would-be disrupter, new entrepreneurial companies can and should evaluate the trade-offs between disruption and other strategies. Doing so allows them to choose a strategy that is right for that startup, in that market, at that time, and to learn as the company commercializes its idea.
    Note: Online resource; Title from title page (viewed February 19, 2020) , Mode of access: World Wide Web.
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  • 39
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484256350
    Language: English
    Pages: 1 online resource (659 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Learn Microsoft Project 2019 from the perspective of the project manager. This guide is an all-in-one training resource and reference that covers all versions found in the Microsoft Project 2019 suite. It is not a "how-to" manual covering the features and functions of the software, but is designed to explain and demonstrate why those features and functions are important to you as a project manager, allowing you to maximize the value of Microsoft Project 2019. Each aspect of project-manager-specific coverage was selectively compiled by author and Microsoft Project expert Cicala over more than two decades of consulting, project management training, and managing real-world projects using Microsoft Project. Readers will appreciate the robust index and intuitively organized and learning-oriented chapters, and sub-sections for quick reference and problem solving. "Try it" exercises at the close of every chapter help ensure understanding of the content. What You Will Learn Understand key components to the Microsoft Project 2019 solution Reinforce learning via hands-on exercises with step-by-step illustrations Build a plan and work breakdown structure, and manage resources and assignments Utilize enterprise project management for creating a project, monitoring, controlling, and tracking Export and communicate project information to an external audience Who This Book Is For Project managers with limited time and resources who need to maximize their efficiency with Microsoft Project Answer keys and supporting PowerPoint slides are available for academic instructors upon request.
    Note: Online resource; Title from title page (viewed April 29, 2020) , Mode of access: World Wide Web.
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  • 40
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484258231
    Language: English
    Pages: 1 online resource (297 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Build a modern data warehouse on Microsoft's Azure Platform that is flexible, adaptable, and fast-fast to snap together, reconfigure, and fast at delivering results to drive good decision making in your business. Gone are the days when data warehousing projects were lumbering dinosaur-style projects that took forever, drained budgets, and produced business intelligence (BI) just in time to tell you what to do 10 years ago. This book will show you how to assemble a data warehouse solution like a jigsaw puzzle by connecting specific Azure technologies that address your own needs and bring value to your business. You will see how to implement a range of architectural patterns using batches, events, and streams for both data lake technology and SQL databases. You will discover how to manage metadata and automation to accelerate the development of your warehouse while establishing resilience at every level. And you will know how to feed downstream analytic solutions such as Power BI and Azure Analysis Services to empower data-driven decision making that drives your business forward toward a pattern of success. This book teaches you how to employ the Azure platform in a strategy to dramatically improve implementation speed and flexibility of data warehousing systems. You will know how to make correct decisions in design, architecture, and infrastructure such as choosing which type of SQL engine (from at least three options) best meets the needs of your organization. You also will learn about ETL/ELT structure and the vast number of accelerators and patterns that can be used to aid implementation and ensure resilience. Data warehouse developers and architects will find this book a tremendous resource for moving their skills into the future through cloud-based implementations. What You Will Learn Choose the appropriate Azure SQL engine for implementing a given data warehouse Develop smart, reusable ETL/ELT processes that are resilient and easily maintained Automate mundane development tasks through tools such as PowerShell Ensure consistency of data by creating and enforcing data contracts Explore streaming and event-driven architectures for data ingestion Create advanced staging layers using Azure Data Lake Gen 2 to feed your data warehouse Who This Book Is For Data warehouse or ETL/ELT developers who wish to implement a data warehouse project in the Azure cloud, and developers currently working in on-premise environments who want to move to the clou...
    Note: Online resource; Title from title page (viewed June 15, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Take Control Books | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (178 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Discover Preview's hidden features for editing images and manipulating PDFs! Version 1.2, updated 5/22/2020 Apple bundles the Preview app with every Mac, but few people realize what it's capable of. The Mac experts behind TidBITS, Adam Engst and Josh Centers, have plumbed Preview's depths to create a cheerful, colorful book that explains dozens of techniques for importing, viewing, editing, and converting images in Preview. The book also puts you in control of reading, annotating, manipulating, and encrypting PDFs. Updated to cover Catalina! Packed with real-world examples and tips, the book teaches you how to bring files into Preview from a camera, iOS or iPadOS device, or scanner (or just from the Finder). Once you discover Preview's surprisingly capable collection of image-editing tools, you'll soon be editing imported photos by tweaking the exposure, color saturation, sharpness, and more. You can even mark up your images with circles, arrows, and text, plus numerous other shapes. In the second part of the book, Adam and Josh focus on PDFs in Preview, describing how to configure Preview to make reading PDFs as fluid as possible. Since so many paper forms now come in PDF, the book shows you how to fill out PDF-based forms, complete with quick insertion of your digital signature. Those who read digital textbooks or who collaborate on documents will learn to annotate PDFs with highlights, notes, and bookmarks. You'll even learn how to create PDFs from a scanner, the clipboard, and the Print dialog. Finally, Adam and Josh cover the two types of passwords you can use to protect your PDFs, explaining what each is good for. Preview is a veritable Swiss Army Knife. Don't miss out on the many ways it can make your life easier, including these capabilities: Import photos from your iPhone or iPad. Scan paper-based documents and images. Add a scanned page to an existing PDF. Take a screenshot that includes the pointer. Open hundreds of images in a single window. Trash unwanted images with a keystroke. Duplicate, rename, and move images without leaving Preview. Play a manually arranged slideshow of images or PDF pages. Create a PDF-based image catalog. Resize and change the resolution of images. Crop out undesirable content. Mark up screenshots with shapes and text labels. Magnify a portion of an image with a loupe. Add text captions and speech bubbles to photos. Tweak the white point and black point in photos. Make photos sepia or black-and-white. Edit...
    Note: Online resource; Title from title page (viewed May 22, 2020) , Mode of access: World Wide Web.
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Take Control Books | Boston, MA : Safari
    ISBN: 9781947282568
    Language: English
    Pages: 1 online resource (148 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Take your videoconferencing skills from zero to Zoom! Version 1.0.2, updated 5/22/2020 Many of us rarely touched a video chat or videoconferencing tool until the pandemic hit. Now, we videoconference daily (or more often) for work meetings, to talk to clients, to stay in touch with friends and family, and for school-we've gone from zero to Zoom! Zoom is the most widely used videoconferencing system in the world due to its generous feature set for free users and the ease of joining video chats by people without prior experience. But you can learn to master some of its subtle, hard-to-find, or confusing features and increase your efficiency and enjoyment as a participant and as a host. Take Control of Zoom takes the pain out of learning how to best use this powerful tool. The book covers a broad range of topics, from which Zoom app to use and how to configure your account and app even before your first meeting, to how to work among Zoom views and chat in a meeting, to creating and managing your own meetings. But what about privacy and security? Zoom's skyrocketing use revealed how insecure some of its software design choices were and how sloppy the company had been as it added options. Since March 2020, Zoom has rolled out hundreds of fixes and dozens of changes, all well documented in the book. Take Control of Zoom doesn't shirk discussing past flaws and Zoom's ongoing plans, and offers insight into which purposes you can safely use the system for and how to re-establish trust in what they offer. Here's what you will find in Take Control of Zoom : Learn how to install and configure Zoom. Decide if a web app meets your needs or it's something to recommend to other meeting participants. Configure your physical setup and your hardware for best results on video. Don't forget that even if you don't see a stream of yourself, you're on camera for other people. Upgrade your audio for better comfort and quality. Understand Zoom's past missteps with security and what it promises now. Master participating in a meeting, including the various methods of "speaking up." Get to know Zoom's many mobile and desktop views for seeing other people and shared screens. Become a host and start meetings with one other person or 1,000. Dig into Zoom's meeting controls to create safe meetings and manage public ones, keeping participants safe and blocking or removing problematic members. Find out how to preserve your privacy when sharing apps, presentations, or other part...
    Note: Online resource; Title from title page (viewed May 22, 2020) , Mode of access: World Wide Web.
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  • 43
    Language: English
    Pages: 1 online resource (200 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn how to combine SQL Server's analytics with Azure's flexibility and hybrid connectivity to achieve industry-leading performance and manageability for your cloud database. Key Features Understand platform availability for SQL Server in Azure Explore the benefits and deployment choices offered by SQL IaaS Get to grips with deploying SQL Server on the Linux development ecosystem Book Description Deploying SQL Server on Azure virtual machines allows you to work on full versions of SQL Server in the cloud without having to maintain on-premises hardware. The book begins by introducing you to the SQL portfolio in Azure and takes you through SQL Server IaaS scenarios, before explaining the factors that you need to consider while choosing an OS for SQL Server in Azure VMs. As you progress through the book, you'll explore different VM options and deployment choices for IaaS and understand platform availability, migration tools, and best practices in Azure. In later chapters, you'll learn how to configure storage to achieve optimized performance. Finally, you'll get to grips with the concept of Azure Hybrid Benefit and find out how you can use it to maximize the value of your existing on-premises SQL Server. By the end of this book, you'll be proficient in administering SQL Server on Microsoft Azure and leveraging the tools required for its deployment. What you will learn Choose an operating system for SQL Server in Azure VMs Use the Azure Management Portal to facilitate the deployment process Verify connectivity and network latency in cloud Configure storage for optimal performance and connectivity Explore various disaster recovery options for SQL Server in Azure Optimize SQL Server on Linux Discover how to back up databases to a URL Who this book is for SQL Server on Azure VMs is for you if you are a developer, data enthusiast, or anyone who wants to migrate SQL Server databases to Azure virtual machines. Basic familiarity with SQL Server and managed identities for Azure resources will be a plus.
    Note: Online resource; Title from title page (viewed June 4, 2020) , Mode of access: World Wide Web.
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  • 44
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484256268
    Language: English
    Pages: 1 online resource (1043 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: This book is a collection of developer code recipes and best practices for persisting data using Spring, particularly Spring Boot. The book is structured around practical recipes, where each recipe discusses a performance case or performance-related case, and almost every recipe has one or more applications. Mainly, when we try to accomplish something (e.g., read some data from the database), there are several approaches to do it, and, in order to choose the best way, you have to know the implied trades-off from a performance perspective. You'll see that in the end, all these penalties slow down the application. Besides presenting the arguments that favor a certain choice, the application is written in Spring Boot style which is quite different than plain Hibernate. Persistence is an important set of techniques and technologies for accessing and using data, and this book demonstrates that data is mobile regardless of specific applications and contexts. In Java development, persistence is a key factor in enterprise, ecommerce, cloud and other transaction-oriented applications. After reading and using this book, you'll have the fundamentals to apply these persistence solutions into your own mission-critical enterprise Java applications that you build using Spring. What You Will Learn Shape *-to-many associations for best performances Effectively exploit Spring Projections (DTO) Learn best practices for batching inserts, updates and deletes Effectively fetch parent and association in a single SELECT Learn how to inspect Persistent Context content Dissect pagination techniques (offset and keyset) Handle queries, locking, schemas, Hibernate types, and more Who This Book Is For Any Spring and Spring Boot developer that wants to squeeze the persistence layer performances.
    Note: Online resource; Title from title page (viewed April 29, 2020) , Mode of access: World Wide Web.
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  • 45
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484259252
    Language: English
    Pages: 1 online resource (334 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Customize the SAS Stored Process web application to create amazing tools for end users. This book shows you how to use stored processes-SAS programs stored on a server and executed as required by requesting applications. Never before have there been so many ways to turn data into information and build applications with SAS. This book teaches you how to use the web technologies that you frequently see used on impressive websites. By using SAS Stored Processes , you will be able to build applications that exploit CSS, JavaScript, and HTML libraries and enable you to build powerful and impressive web applications using SAS as the backend. While this approach is not common with SAS users, some have had amazing results. People who have SAS skills usually do not have web development skills, and those with web development skills usually do not have SAS skills. Some people have both skills but are unaware of how to connect them with the SAS Stored Process web application. This book shows you how to leverage your skills for success. What You Will Learn Know the benefits of stored processes Write your own tools in SAS Make a stored process generate its own HTML menu Pass data between stored processes Use stored processes to generate pure JavaScript Utilize data generated by SAS Convert a SAS program into a stored process Who This Book Is For SAS programmers looking to improve their existing programming skills to develop web applications, and programming managers who want to make better use of the SAS software they already license
    Note: Online resource; Title from title page (viewed June 6, 2020) , Mode of access: World Wide Web.
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  • 46
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    Online Resource
    [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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  • 47
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (408 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Harness the latest capabilities of HTML5 and CSS to create a single UI that works flawlessly on mobile phones, tablets, and desktops - plus everything in-between Key Features Understand what responsive web design is and its significance for modern web development Explore the latest developments in responsive web design including variable fonts, CSS Scroll Snap, and more Get to grips with the uses and benefits of the new CSS Grid layout Book Description Responsive Web Design with HTML5 and CSS, Third Edition is a renewed and extended version of one of the most comprehensive and bestselling books on the latest HTML5 and CSS tools and techniques for responsive web design. Written in the author's signature friendly and informal style, this edition covers all the newest developments and improvements in responsive web design including better user accessibility, variable fonts and font loading, CSS Scroll Snap, and much, much more. With a new chapter dedicated to CSS Grid, you will understand how it differs from the Flexbox layout mechanism and when you should use one over the other. Furthermore, you will acquire practical knowledge of SVG, writing accessible HTML markup, creating stunning aesthetics and effects with CSS, applying transitions, transformations, and animations, integrating media queries, and more. The book concludes by exploring some exclusive tips and approaches for front-end development from the author. By the end of this book, you will not only have a comprehensive understanding of responsive web design and what is possible with the latest HTML5 and CSS, but also the knowledge of how to best implement each technique. What you will learn Integrate CSS media queries into your designs; apply different styles to different devices Load different sets of images depending upon screen size or resolution Leverage the speed, semantics, and clean markup of accessible HTML patterns Implement SVGs into your designs to provide resolution-independent images Apply the latest features of CSS like custom properties, variable fonts, and CSS Grid Add validation and interface elements like date and color pickers to HTML forms Understand the multitude of ways to enhance interface elements with filters, shadows, animations, and more Who this book is for Are you a full-stack developer who needs to gem up on his front-end skills? Perhaps you work on the front-end and you need a definitive overview of all modern HTML and CSS has to offer? Maybe you have done...
    Note: Online resource; Title from title page (viewed April 30, 2020) , Mode of access: World Wide Web.
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  • 48
    Online Resource
    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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  • 49
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    [Erscheinungsort nicht ermittelbar] : Pragmatic Bookshelf | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (342 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool. But where to start? It's easy to be intimidated, even as a software developer. The good news is that it doesn't have to be that hard. Master machine learning by writing code one line at a time, from simple learning programs all the way to a true deep learning system. Tackle the hard topics by breaking them down so they're easier to understand, and build your confidence by getting your hands dirty. Peel away the obscurities of machine learning, starting from scratch and going all the way to deep learning. Machine learning can be intimidating, with its reliance on math and algorithms that most programmers don't encounter in their regular work. Take a hands-on approach, writing the Python code yourself, without any libraries to obscure what's really going on. Iterate on your design, and add layers of complexity as you go. Build an image recognition application from scratch with supervised learning. Predict the future with linear regression. Dive into gradient descent, a fundamental algorithm that drives most of machine learning. Create perceptrons to classify data. Build neural networks to tackle more complex and sophisticated data sets. Train and refine those networks with backpropagation and batching. Layer the neural networks, eliminate overfitting, and add convolution to transform your neural network into a true deep learning system. Start from the beginning and code your way to machine learning mastery. What You Need: The examples in this book are written in Python, but don't worry if you don't know this language: you'll pick up all the Python you need very quickly. Apart from that, you'll only need your computer, and your code-adept brain.
    Note: Online resource; Title from title page (viewed March 31, 2020) , Mode of access: World Wide Web.
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  • 50
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (526 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Get a firm grip on the core processes including browser automation, web scraping, Word, Excel, and GUI automation with Python 3.8 and higher Key Features Automate integral business processes such as report generation, email marketing, and lead generation Explore automated code testing and Python's growth in data science and AI automation in three new chapters Understand techniques to extract information and generate appealing graphs, and reports with Matplotlib Book Description In this updated and extended version of Python Automation Cookbook, each chapter now comprises the newest recipes and is revised to align with Python 3.8 and higher. The book includes three new chapters that focus on using Python for test automation, machine learning projects, and for working with messy data. This edition will enable you to develop a sharp understanding of the fundamentals required to automate business processes through real-world tasks, such as developing your first web scraping application, analyzing information to generate spreadsheet reports with graphs, and communicating with automatically generated emails. Once you grasp the basics, you will acquire the practical knowledge to create stunning graphs and charts using Matplotlib, generate rich graphics with relevant information, automate marketing campaigns, build machine learning projects, and execute debugging techniques. By the end of this book, you will be proficient in identifying monotonous tasks and resolving process inefficiencies to produce superior and reliable systems. What you will learn Learn data wrangling with Python and Pandas for your data science and AI projects Automate tasks such as text classification, email filtering, and web scraping with Python Use Matplotlib to generate a variety of stunning graphs, charts, and maps Automate a range of report generation tasks, from sending SMS and email campaigns to creating templates, adding images in Word, and even encrypting PDFs Master web scraping and web crawling of popular file formats and directories with tools like Beautiful Soup Build cool projects such as a Telegram bot for your marketing campaign, a reader from a news RSS feed, and a machine learning model to classify emails to the correct department based on their content Create fire-and-forget automation tasks by writing cron jobs, log files, and regexes with Python scripting Who this book is for Python Automation Cookbook - Second Edition is for developers, data enthusiasts or ...
    Note: Online resource; Title from title page (viewed May 29, 2020) , Mode of access: World Wide Web.
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  • 51
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Focal Press | Boston, MA : Safari
    ISBN: 9781351731126
    Language: English
    Pages: 1 online resource (296 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Principles of Game Audio and Sound Design is a comprehensive introduction to the art of sound for games and interactive media using Unity. This accessible guide encompasses both the conceptual challenges of the artform as well as the technical and creative aspects, such as sound design, spatial audio, scripting, implementation and mixing. Beginning with basic techniques, including linear and interactive sound design, before moving on to advanced techniques, such as procedural audio, Principles of Game Audio and Sound Design is supplemented by a host of digital resources, including a library of ready-to-use, adaptable scripts. This thorough introduction provides the reader with the skills and tools to combat the potential challenges of game audio independently. Principles of Game Audio and Sound Design is the perfect primer for beginner- to intermediate-level readers with a basic understanding of audio production and Unity who want to learn how to gain a foothold in the exciting world of game and interactive audio.
    Note: Online resource; Title from title page (viewed April 28, 2020) , Mode of access: World Wide Web.
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  • 52
    Language: English
    Pages: 1 online resource (100 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: While there have been quite a few attempts to get JavaScript working as a server-side language, Node.js (frequently just called Node) has been the first environment that's gained any traction. It's now used by companies such as Netflix, Uber and Paypal to power their web apps. Node allows for blazingly fast performance; thanks to its event loop model, common tasks like network connection and database I/O can be executed very quickly indeed. In this book, we'll take a look at a selection of the related tools and skills that will make you a much more productive Node developer. It contains: Installing Multiple Versions of Node.js Using nvm A Beginner's Guide to npm Create New Express.js Apps in Minutes with Express Generator An Introduction to AdonisJs, a Laravel-like Node.js Framework Top 5 Developer-friendly Node.js API Frameworks Using MySQL with Node.js and the mysql JavaScript Client Introduction to MongoDB
    Note: Online resource; Title from title page (viewed April 24, 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
    Language: English
    Pages: 1 online resource (482 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Take your network automation skills to the next level with practical recipes on managing network devices from a variety of vendors like Cisco, Juniper, and Arista Key Features Use Ansible to automate network infrastructure with the help of step-by-step instructions Implement network automation best practices to save cost, avoid critical errors, and reduce downtime Deliver a robust automation framework by integrating Ansible with NAPALM, NetBox, and Batfish Book Description Network Automation Cookbook is designed to help system administrators, network engineers, and infrastructure automation engineers to centrally manage switches, routers, and other devices in their organization's network. This book will help you gain hands-on experience in automating enterprise networks and take you through core network automation techniques using the latest version of Ansible and Python. With the help of practical recipes, you'll learn how to build a network infrastructure that can be easily managed and updated as it scales through a large number of devices. You'll also cover topics related to security automation and get to grips with essential techniques to maintain network robustness. As you make progress, the book will show you how to automate networks on public cloud providers such as AWS, Google Cloud Platform, and Azure. Finally, you will get up and running with Ansible 2.9 and discover troubleshooting techniques and network automation best practices. By the end of this book, you'll be able to use Ansible to automate modern network devices and integrate third-party tools such as NAPALM, NetBox, and Batfish easily to build robust network automation solutions. What you will learn Understand the various components of Ansible Automate network resources in AWS, GCP, and Azure cloud solutions Use IaC concepts to design and build network solutions Automate network devices such as Cisco, Juniper, Arista, and F5 Use NetBox to build network inventory and integrate it with Ansible Validate networks using Ansible and Batfish Who this book is for This Ansible network automation book is for network and DevOps engineers interested in automating complex network tasks. Prior understanding of networking and basic Linux knowledge is required.
    Note: Online resource; Title from title page (viewed April 17, 2020) , Mode of access: World Wide Web.
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  • 54
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    [Erscheinungsort nicht ermittelbar] : Que | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (417 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: My Microsoft Windows 10 Computer for Seniors is an easy, full-color tutorial on the latest operating system from Microsoft. Veteran author Michael Miller is known for his ability to explain complex topics to everyday readers. Michael wrote this book from the 50+ point of view, using step-by-step instructions and large, full-color photos to cover all the most popular tasks. Miller will help you learn to: Get started with Windows 10, whether you're experienced with computers or not Configure Windows 10 to work better for those with vision and physical challenges Explore the web with Microsoft's Edge browser and Google Search Find, install, and use the best Windows apps Reliably connect to the Internet, both at home and away Shop safely online and avoid online scams Make and receive video and voice calls with Skype Connect your phone to your PC to text and make calls Stay connected with friends and family on Facebook, Pinterest, and Twitter Store, touch up, and share your pictures Send and receive email with Windows 10's Email app Keep track of all your files, and back them up safely Watch streaming video on your PC with Disney+, Netflix, YouTube, and more Discover great new music with Spotify and Pandora Fix common PC problems, and manage Windows updates
    Note: Online resource; Title from title page (viewed July 20, 2020) , Mode of access: World Wide Web.
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  • 55
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484259085
    Language: English
    Pages: 1 online resource (283 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Are you a Unity developer looking to switch to the Godot engine quickly? If so, this no-nonsense book is your guide to mastering the most popular open-source game engine. Godot is a completely free game engine for creating high-quality 2D and 3D games that can be launched on multiple platforms. You'll see how to transition seamlessly from Unity to Godot, getting up and running quickly and effectively, using practical case studies. In addition to building functional worlds from meshes and physical interactions, you'll work with reusable assets, such as textures. The book then moves on to lighting and rendering 2D and 3D scenes with baked and real-time lighting. You'll also work with navigation and path-finding for NPCs, and see how to create save-game states with JSON. With Moving from Unity to Godot you'll be ready to create amazing 2D and 3D games that will supercharge your business. What You Will Learn Explore the similarities and differences between Unity and Godot Maximize the benefits from Unity and Godot Create believable game world and characters with Godot Master the unique aspects of C# coding in Godot Who This Book is For Developers familiar with Unity who want to master another game engine, such as Godot.
    Note: Online resource; Title from title page (viewed June 13, 2020) , Mode of access: World Wide Web.
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  • 56
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    [Erscheinungsort nicht ermittelbar] : Microsoft Press | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (160 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Advance your expert-level proficiency with Word. And earn the credential that proves it! Demonstrate your expert-level competency with Microsoft Word! Designed to help you practice and prepare for Microsoft Office Specialist: Word Expert (Word and Word 2019) certification, this official Study Guide delivers: In-depth preparation for each MOS objective Detailed procedures to help build the skills measured by the exam Hands-on tasks to practice what you've learned Ready-made practice files Sharpen the skills measured by these objectives: Manage Document Options and Settings Use Advanced Editing and Formatting Features Create Custom Document Elements Use Advanced Word Features About MOS: Expert Certification A Microsoft Office Specialist (MOS): Expert certification validates your hands-on experience and competency with an Office product at an expert level. It demonstrates that you can apply the product's principal features at an advanced level, can complete expert tasks independently, and are ready to enter the job market. See full details at: microsoft.com/learn Practice Files Available at: MicrosoftPressStore.com/MOSWordExpert101/downloads
    Note: Online resource; Title from title page (viewed May 6, 2020) , Mode of access: World Wide Web.
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  • 57
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838984397
    Language: English
    Pages: 1 online resource (560 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: A no-nonsense, practical guide to current and future processor and computer architectures, enabling you to design computer systems and develop better software applications across a variety of domains Key Features Understand digital circuitry with the help of transistors, logic gates, and sequential logic Examine the architecture and instruction sets of x86, x64, ARM, and RISC-V processors Explore the architecture of modern devices such as the iPhone X and high-performance gaming PCs Book Description Are you a software developer, systems designer, or computer architecture student looking for a methodical introduction to digital device architectures but overwhelmed by their complexity? This book will help you to learn how modern computer systems work, from the lowest level of transistor switching to the macro view of collaborating multiprocessor servers. You'll gain unique insights into the internal behavior of processors that execute the code developed in high-level languages and enable you to design more efficient and scalable software systems. The book will teach you the fundamentals of computer systems including transistors, logic gates, sequential logic, and instruction operations. You will learn details of modern processor architectures and instruction sets including x86, x64, ARM, and RISC-V. You will see how to implement a RISC-V processor in a low-cost FPGA board and how to write a quantum computing program and run it on an actual quantum computer. By the end of this book, you will have a thorough understanding of modern processor and computer architectures and the future directions these architectures are likely to take. What you will learn Get to grips with transistor technology and digital circuit principles Discover the functional elements of computer processors Understand pipelining and superscalar execution Work with floating-point data formats Understand the purpose and operation of the supervisor mode Implement a complete RISC-V processor in a low-cost FPGA Explore the techniques used in virtual machine implementation Write a quantum computing program and run it on a quantum computer Who this book is for This book is for software developers, computer engineering students, system designers, reverse engineers, and anyone looking to understand the architecture and design principles underlying modern computer systems from tiny embedded devices to warehouse-size cloud server farms. A general understanding of computer processors is he...
    Note: Online resource; Title from title page (viewed April 30, 2020) , Mode of access: World Wide Web.
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  • 58
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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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  • 59
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484259283
    Language: English
    Pages: 1 online resource (296 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Build web applications in C# and Microsoft .NET that run in any modern browser. This second edition is updated to work with the release version of Blazor and covers Blazor's use in creating both server-side and WebAssembly Blazor applications. Developers are able to use all their experience in .NET along with thousands of existing libraries, right in the browser. There is important new coverage in this edition on the new and improved Razor syntax, how to easily validate user input with Blazor validation, and how to build complex interacting components with Cascading Properties and Templated Components. You will learn how to build user interfaces and present data to a user for display and modification, capturing the user's changes via data binding. The book shows you how to access a rich library of .NET functionality such as a component model for building a composable user interface, including how to develop reusable components that can be used across many pages and websites. Also covered is data exchange with a server, giving you access to microservices and database services. Blazor provides a fresh take on web development by eliminating the need for you to learn different languages and frameworks for client- and server-side development. Blazor allows C# and .NET to be used on all sides, providing a robust feature set that is well suited toward scalable, enterprise-level applications. This book gets you started using this important new toolkit for web application development. What You Will Learn Build user interfaces and display data for users to edit Capture the user's changes via data binding Transfer data back and forth between server and client Communicate with microservices and database services Develop reusable components and assemble them into bigger components Use routing to build single-page applications (SPAs) Build Blazor libraries that are reusable across applications Who This Book Is For Experienced .NET developers who want to apply their existing skills toward building professional-quality, client-side web applications that run in any browser. The book is for web developers who want to step away from JavaScript and its complexities, and instead use a proven technology (.NET) that is robust toward creating enterprise-quality applications that scale and are reliable, that provide good user experience.
    Note: Online resource; Title from title page (viewed May 29, 2020) , Mode of access: World Wide Web.
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  • 60
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (300 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Build scalable and production-ready infrastructure in Amazon Web Services with CloudFormation Key Features Leverage AWS CloudFormation templates to manage your entire infrastructure Get up and running with writing your infrastructure as code and automating your environment Simplify infrastructure management and increase productivity with AWS CloudFormation Book Description DevOps and the cloud revolution have forced software engineers and operations teams to rethink how to manage infrastructures. With this AWS book, you'll understand how you can use Infrastructure as Code (IaC) to simplify IT operations and manage the modern cloud infrastructure effectively with AWS CloudFormation. This comprehensive guide will help you explore AWS CloudFormation from template structures through to developing complex and reusable infrastructure stacks. You'll then delve into validating templates, deploying stacks, and handling deployment failures. The book will also show you how to leverage AWS CodeBuild and CodePipeline to automate resource delivery and apply continuous integration and continuous delivery (CI/CD) practices to the stack. As you advance, you'll learn how to generate templates on the fly using macros and create resources outside AWS with custom resources. Finally, you'll improve the way you manage the modern cloud in AWS by extending CloudFormation using AWS serverless application model (SAM) and AWS cloud development kit (CDK). By the end of this book, you'll have mastered all the major AWS CloudFormation concepts and be able to simplify infrastructure management. What you will learn Understand modern approaches to IaC Develop universal and reusable CloudFormation templates Discover ways to apply continuous delivery with CloudFormation Implement IaC best practices for the AWS Cloud Provision massive applications across multiple regions and accounts Automate template generation and software provisioning for AWS Extend CloudFormation with custom resources and template macros Who this book is for If you are a developer who wants to learn how to write templates, a DevOps engineer interested in deployment and orchestration, or a solutions architect looking to understand the benefits of managing infrastructure with ease, this book is for you. Prior understanding of the AWS Cloud is necessary.
    Note: Online resource; Title from title page (viewed May 8, 2020) , Mode of access: World Wide Web.
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  • 61
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838980924
    Language: English
    Pages: 1 online resource (404 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Understand how to set up, configure, and use Azure Sentinel to provide security incident and event management services for your environment Key Features Secure your network, infrastructure, data, and applications on Microsoft Azure effectively Integrate artificial intelligence, threat analysis, and automation for optimal security solutions Investigate possible security breaches and gather forensic evidence to prevent modern cyber threats Book Description Azure Sentinel is a Security Information and Event Management (SIEM) tool developed by Microsoft to integrate cloud security and artificial intelligence (AI). Azure Sentinel not only helps clients identify security issues in their environment, but also uses automation to help resolve these issues. With this book, you'll implement Azure Sentinel and understand how it can help find security incidents in your environment with integrated artificial intelligence, threat analysis, and built-in and community-driven logic. This book starts with an introduction to Azure Sentinel and Log Analytics. You'll get to grips with data collection and management, before learning how to create effective Azure Sentinel queries to detect anomalous behaviors and patterns of activity. As you make progress, you'll understand how to develop solutions that automate the responses required to handle security incidents. Finally, you'll grasp the latest developments in security, discover techniques to enhance your cloud security architecture, and explore how you can contribute to the security community. By the end of this book, you'll have learned how to implement Azure Sentinel to fit your needs and be able to protect your environment from cyber threats and other security issues. What you will learn Understand how to design and build a security operations center Discover the key components of a cloud security architecture Manage and investigate Azure Sentinel incidents Use playbooks to automate incident responses Understand how to set up Azure Monitor Log Analytics and Azure Sentinel Ingest data into Azure Sentinel from the cloud and on-premises devices Perform threat hunting in Azure Sentinel Who this book is for This book is for solution architects and system administrators who are responsible for implementing new solutions in their infrastructure. Security analysts who need to monitor and provide immediate security solutions or threat hunters looking to learn how to use Azure Sentinel to investigate possible security br...
    Note: Online resource; Title from title page (viewed April 7, 2020) , Mode of access: World Wide Web.
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  • 62
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    [Erscheinungsort nicht ermittelbar] : Association for Talent Development | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (368 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Leaders as Learners, Learners as Leaders Drawing upon firsthand experiences and insights from senior practitioners, Leading the Learning Function: Tools and Techniques for Organizational Impact offers best practices, tools, techniques, and processes that successful business leaders use to develop, build, and implement their personal leadership skill sets. The ATD Forum-a consortium for senior talent and learning practitioners to connect, collaborate, and share knowledge, best practices, and company experiences-sought to extend those accruing benefits more broadly in the profession to current and aspiring learning leaders and talent practitioners. In this book, Forum managers and book editors MJ Hall and Laleh Patel and Forum members set out to document the work learning leaders do to help themselves and others build organizational capabilities and successful results. In 26 chapters, Forum contributors-leaders in their respective organizations-offer insights and lessons about setting direction, managing processes, leading and developing people, making an impact, collaborating with stakeholders, using technology for learning, and innovating. Growing leadership skills is a lifelong journey; gaining a portfolio of techniques others have used successfully to solve similar business challenges can provide an edge in your role as a business advisor. Leading the Learning Function is just that portfolio.
    Note: Online resource; Title from title page (viewed June 15, 2020) , Mode of access: World Wide Web.
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  • 63
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    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (130 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: If you're training a machine learning model but aren't sure how to put it into production, this book will get you there. Kubeflow provides a collection of cloud native tools for different stages of a model's lifecycle, from data exploration, feature preparation, and model training to model serving. This guide helps data scientists build production-grade machine learning implementations with Kubeflow and shows data engineers how to make models scalable and reliable. Using examples throughout the book, authors Holden Karau, Trevor Grant, Ilan Filonenko, Richard Liu, and Boris Lublinsky explain how to use Kubeflow to train and serve your machine learning models on top of Kubernetes in the cloud or in a development environment on-premises. Understand Kubeflow's design, core components, and the problems it solves Learn how to set up Kubeflow on a cloud provider or on an in-house cluster Train models using Kubeflow with popular tools including scikit-learn, TensorFlow, and Apache Spark Learn how to add custom stages such as serving and prediction Keep your model up-to-date with Kubeflow Pipelines Understand how to validate machine learning pipelines
    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] : MIT Sloan Management Review | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (8 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Finding the best people and paying more for them is, paradoxically, the most cost-effective way to optimize IT output. By adopting a new approach to assessing IT competence, companies can nurture engineering talent, boost productivity, and reduce costs.
    Note: Online resource; Title from title page (viewed March 5, 2020) , Mode of access: World Wide Web.
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  • 65
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    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484255490
    Language: English
    Pages: 1 online resource (284 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Apply machine learning using the Internet of Things (IoT) in the agriculture, telecom, and energy domains with case studies. This book begins by covering how to set up the software and hardware components including the various sensors to implement the case studies in Python. The case study section starts with an examination of call drop with IoT in the telecoms industry, followed by a case study on energy audit and predictive maintenance for an industrial machine, and finally covers techniques to predict cash crop failure in agribusiness. The last section covers pitfalls to avoid while implementing machine learning and IoT in these domains. After reading this book, you will know how IoT and machine learning are used in the example domains and have practical case studies to use and extend. You will be able to create enterprise-scale applications using Raspberry Pi 3 B+ and Arduino Mega 2560 with Python. What You Will Learn Implement machine learning with IoT and solve problems in the telecom, agriculture, and energy sectors with Python Set up and use industrial-grade IoT products, such as Modbus RS485 protocol devices, in practical scenarios Develop solutions for commercial-grade IoT or IIoT projects Implement case studies in machine learning with IoT from scratch Who This Book Is For Raspberry Pi and Arduino enthusiasts and data science and machine learning professionals.
    Note: Online resource; Title from title page (viewed May 9, 2020) , Mode of access: World Wide Web.
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  • 66
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (496 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Build a strong foundation in designing and implementing real-time systems with the help of practical examples Key Features Get up and running with the fundamentals of RTOS and apply them on STM32 Enhance your programming skills to design and build real-world embedded systems Get to grips with advanced techniques for implementing embedded systems Book Description A real-time operating system (RTOS) is used to develop systems that respond to events within strict timelines. Real-time embedded systems have applications in various industries, from automotive and aerospace through to laboratory test equipment and consumer electronics. These systems provide consistent and reliable timing and are designed to run without intervention for years. This microcontrollers book starts by introducing you to the concept of RTOS and compares some other alternative methods for achieving real-time performance. Once you've understood the fundamentals, such as tasks, queues, mutexes, and semaphores, you'll learn what to look for when selecting a microcontroller and development environment. By working through examples that use an STM32F7 Nucleo board, the STM32CubeIDE, and SEGGER debug tools, including SEGGER J-Link, Ozone, and SystemView, you'll gain an understanding of preemptive scheduling policies and task communication. The book will then help you develop highly efficient low-level drivers and analyze their real-time performance and CPU utilization. Finally, you'll cover tips for troubleshooting and be able to take your new-found skills to the next level. By the end of this book, you'll have built on your embedded system skills and will be able to create real-time systems using microcontrollers and FreeRTOS. What you will learn Understand when to use an RTOS for a project Explore RTOS concepts such as tasks, mutexes, semaphores, and queues Discover different microcontroller units (MCUs) and choose the best one for your project Evaluate and select the best IDE and middleware stack for your project Use professional-grade tools for analyzing and debugging your application Get FreeRTOS-based applications up and running on an STM32 board Who this book is for This book is for embedded engineers, students, or anyone interested in learning the complete RTOS feature set with embedded devices. A basic understanding of the C programming language and embedded systems or microcontrollers will be helpful.
    Note: Online resource; Title from title page (viewed May 15, 2020) , Mode of access: World Wide Web.
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  • 67
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (530 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib with the help of real-world examples and datasets Key Features Become familiar with data processing, performance measuring, and model selection using various C++ libraries Implement practical machine learning and deep learning techniques to build smart models Deploy machine learning models to work on mobile and embedded devices Book Description C++ can make your machine learning models run faster and more efficiently. This handy guide will help you learn the fundamentals of machine learning (ML), showing you how to use C++ libraries to get the most out of your data. This book makes machine learning with C++ for beginners easy with its example-based approach, demonstrating how to implement supervised and unsupervised ML algorithms through real-world examples. This book will get you hands-on with tuning and optimizing a model for different use cases, assisting you with model selection and the measurement of performance. You'll cover techniques such as product recommendations, ensemble learning, and anomaly detection using modern C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib. Next, you'll explore neural networks and deep learning using examples such as image classification and sentiment analysis, which will help you solve various problems. Later, you'll learn how to handle production and deployment challenges on mobile and cloud platforms, before discovering how to export and import models using the ONNX format. By the end of this C++ book, you will have real-world machine learning and C++ knowledge, as well as the skills to use C++ to build powerful ML systems. What you will learn Explore how to load and preprocess various data types to suitable C++ data structures Employ key machine learning algorithms with various C++ libraries Understand the grid-search approach to find the best parameters for a machine learning model Implement an algorithm for filtering anomalies in user data using Gaussian distribution Improve collaborative filtering to deal with dynamic user preferences Use C++ libraries and APIs to manage model structures and parameters Implement a C++ program to solve image classification tasks with LeNet architecture Who this book is for You will find this C++ machine learning book useful if you want to get started with machine learning algorithms an...
    Note: Online resource; Title from title page (viewed May 15, 2020) , Mode of access: World Wide Web.
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  • 68
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (262 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Design, secure, and protect the privacy of edge analytics applications using platforms and tools such as Microsoft's Azure IoT Edge, MicroPython, and Open Source Computer Vision (OpenCV) Key Features Become well-versed with best practices for implementing automated analytical computations Discover real-world examples to extend cloud intelligence Develop your skills by understanding edge analytics and applying it to research activities Book Description Edge analytics has gained attention as the IoT model for connected devices rises in popularity. This guide will give you insights into edge analytics as a data analysis model, and help you understand why it's gaining momentum. You'll begin with the key concepts and components used in an edge analytics app. Moving ahead, you'll delve into communication protocols to understand how sensors send their data to computers or microcontrollers. Next, the book will demonstrate how to design modern edge analytics apps that take advantage of the processing power of modern single-board computers and microcontrollers. Later, you'll explore Microsoft Azure IoT Edge, MicroPython, and the OpenCV visual recognition library. As you progress, you'll cover techniques for processing AI functionalities from the server side to the sensory side of IoT. You'll even get hands-on with designing a smart doorbell system using the technologies you've learned. To remove vulnerabilities in the overall edge analytics architecture, you'll discover ways to overcome security and privacy challenges. Finally, you'll use tools to audit and perform real-time monitoring of incoming data and generate alerts for the infrastructure. By the end of this book, you'll have learned how to use edge analytics programming techniques and be able to implement automated analytical computations. What you will learn Discover the key concepts and architectures used with edge analytics Understand how to use long-distance communication protocols for edge analytics Deploy Microsoft Azure IoT Edge to a Raspberry Pi Create Node-RED dashboards with MQTT and Text to Speech (TTS) Use MicroPython for developing edge analytics apps Explore various machine learning techniques and discover how machine learning is related to edge analytics Use camera and vision recognition algorithms on the sensory side to design an edge analytics app Monitor and audit edge analytics apps Who this book is for If you are a data analyst, data architect, or data scientist who is interes...
    Note: Online resource; Title from title page (viewed May 21, 2020) , Mode of access: World Wide Web.
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  • 69
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    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484259405
    Language: English
    Pages: 1 online resource (146 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Use ensemble learning techniques and models to improve your machine learning results. Ensemble Learning for AI Developers starts you at the beginning with an historical overview and explains key ensemble techniques and why they are needed. You then will learn how to change training data using bagging, bootstrap aggregating, random forest models, and cross-validation methods. Authors Kumar and Jain provide best practices to guide you in combining models and using tools to boost performance of your machine learning projects. They teach you how to effectively implement ensemble concepts such as stacking and boosting and to utilize popular libraries such as Keras, Scikit Learn, TensorFlow, PyTorch, and Microsoft LightGBM. Tips are presented to apply ensemble learning in different data science problems, including time series data, imaging data, and NLP. Recent advances in ensemble learning are discussed. Sample code is provided in the form of scripts and the IPython notebook. What You Will Learn Understand the techniques and methods utilized in ensemble learning Use bagging, stacking, and boosting to improve performance of your machine learning projects by combining models to decrease variance, improve predictions, and reduce bias Enhance your machine learning architecture with ensemble learning Who This Book Is For Data scientists and machine learning engineers keen on exploring ensemble learning
    Note: Online resource; Title from title page (viewed June 18, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (344 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als Feldman, Richard Elm in action
    DDC: 005.133
    Keywords: Electronic books ; local ; JavaScript
    Abstract: Elm in Action teaches you the Elm language along with a new approach to coding frontend applications. Chapter by chapter, you'll create a full-featured photo-browsing app, learning as you go about Elm's modular architecture, Elm testing, and how to work seamlessly with your favorite JavaScript libraries. You'll especially appreciate author and Elm core team member Richard Feldman's unique insights, based on his thousands of hours writing production code in Elm. When you're done, you'll have a toolbox of new development skills and a stunning web app for your portfolio.
    Note: Online resource; Title from title page (viewed April 15, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Cisco Press | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (496 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Acomprehensive guide to learning container and application hosting capabilitiesin Cisco platforms, and implementing them to achieve higher efficiency innetwork deployments and operations Cisco architectures offer comprehensive compute virtualizationcapabilities to accommodate both native and third-party container hosting, soyou can containerize and instantiate any application or network service andgain unprecedented value from your networks. Direct from Cisco, this is the complete guide to deploying andoperating containerized application andnetwork services on Cisco platforms. First, the authors review essentialvirtualization and containerization concepts for all network professionals andintroduce leading orchestration tools. Next, they take a deep dive intocontainer networking, introducing Cisco architectural support for containerinfrastructures. Youll find modular coverage of configuration, activation,orchestration, operations, and application hosting for each key Cisco softwareplatform: IOS-XE, IOS-XR, and NX-OS. The authors explore diverse orchestration tools, including LXC,Docker, and Kubernetes, and cover both Cisco and open-source tools for buildingand testing applications. They conclude with multiple use cases that show howcontainerization can improve agility and efficiency in a wide range of networkenvironments. Reviewthe motivation, drivers, and concepts of computing virtualization Learnhow Cisco platforms are achieving infrastructure virtualization Explorethe Cisco reference model for developing cloud-native services and moving tocloud-native network functions MasterCisco container networking fundamentals, supported modes, and configuration Enable,install, activate, and orchestrate containerized applications in Cisco IOS-XE,IOS-XR, and NX-OS Comparetools and methods for developing, testing, hosting, and orchestratingcontainerized applications Discoverreal-world use cases for Day-0, Day-1, and Day-2 operations, with practicaldeployment examples Previewemerging trends in network containerization
    Note: Online resource; Title from title page (viewed July 31, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic Bookshelf | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (140 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Today's tech unicorns develop software differently. They've developed a way of working that lets them scale like an enterprise while working like a startup. These techniques can be learned. This book takes you behind the scenes and shows you how companies like Google, Facebook, and Spotify do it. Leverage their insights, so your teams can work better together, ship higher-quality product faster, innovate more quickly, and compete with the unicorns. Massively successful tech companies, or Unicorns, have discovered how to take the techniques that made them successful as a startup and scale them to the enterprise level. Amazon, Facebook, Google, and Spotify all work like startups, despite having workforces numbering in the tens of thousands. Ex-Spotify engineer and coach, Jonathan Rasmusson, takes you behind the scenes and shows you how to develop software the way the best companies do it. Learn how to give teams purpose through Missions, empower and trust with Squads, and align large scale efforts through Bets. Create the culture necessary to make it happen. If you're a tech or product lead and you want to ship product better, this is your playbook on how the world's best do it. If you're an engineer, tester, analyst, or project manager, and you suspect there are better ways you could be working, you are correct. This book will show you how. And if you're a manager, Agile coach, or someone just charged with improving how your company ships software, this book will give you the tools, techniques, and practices of the world's most innovative, delivery-focused companies. Don't just admire the top companies - learn from them.
    Note: Online resource; Title from title page (viewed March 16, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Cisco Press | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (687 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: This is Cisco's official, comprehensive self-study resource for Cisco's ENSLD 300-420 exam (Designing Cisco Enterprise Networks), one of the most popular concentration exams required for the Cisco Certified Network Professional (CCNP) Enterprise certification. It will thoroughly prepare network professionals to design efficient, reliable, and secure enterprise networks with Cisco technologies. Designed to help you study, prepare for, and pass the CCNP Enterprise 300-420 ENSLD exam on the first attempt, this guide covers every exam objective concisely and logically, with extensive teaching features designed to promote retention and understanding. You'll find: Pre-chapter quizzes to assess knowledge upfront and focus your study more efficiently Foundation topics sections that explain concepts and configurations, and link theory to practice Key topics sections calling attention to every figure, table, and list you must know Exam Preparation sections with additional chapter review features Final preparation chapter providing tools and a complete final study plan A customizable practice test library, including access to two full sample exams offering realistic practice delivered through Pearson's state-of-the-art test prep test engine CCNP Enterprise Design ENSLD 300-420 Official Cert Guide offers comprehensive, up-to-date coverage of all ENSLD #300-420 Designing Cisco Enterprise Networks topics related to: Advanced addressing and routing solutions Advanced enterprise campus networks WANs Security services Network services SDA
    Note: Online resource; Title from title page (viewed August 17, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Berrett-Koehler Publishers | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (192 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: "Eileen delivers a new perspective on the burnout crisis with humor, good sense, and unique ideas on how to manage our brains. I owe my daily well-being to her. Keep this book at your side to help you glide through your workday." -Marcia Reynolds, PsyD, author of The Discomfort Zone It's official. For the first time, the World Health Organization has classified burnout as a health problem. Renowned motivational speaker Eileen McDargh proposes that to tackle it, we must learn to break out of energy-draining thoughts and behaviors. Resilience, she argues, is strictly a matter of energy management--by better managing your energy, you can both build resiliency and overcome burnout. Breakthrough happens when our energy is consciously distributed to what matters most in our lives. So after a short survey that will tell you where you fit in a burnout and resiliency profile, McDargh helps pinpoint the causes of your burnout and examine the energy demands that keep you from refueling and recharging. She provides an in-depth energy analysis and gives you the keys to master the four dimensions that can give you a resilience breakthrough: head, heart, hands, and humor. McDargh guides the reader through the process of identifying energy drains and implementing strategies for handling them, whatever phase of life you are in. Her intention is to help you not only to successfully manage work and life demands but also make even larger strides in understanding how to put together a life by design and not by default.
    Note: Online resource; Title from title page (viewed August 4, 2020) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : MIT Sloan Management Review | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (5 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Amazon HQ2's vice president for workforce development, Ardine Williams, explains the rationale behind the company's strategy for upskilling its workforce even when the training it provides opens up new opportunities for its employees elsewhere.
    Note: Online resource; Title from title page (viewed February 5, 2020) , Mode of access: World Wide Web.
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  • 76
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484257814
    Language: English
    Pages: 1 online resource (281 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Analyze vast amounts of data in record time using Apache Spark with Databricks in the Cloud. Learn the fundamentals, and more, of running analytics on large clusters in Azure and AWS, using Apache Spark with Databricks on top. Discover how to squeeze the most value out of your data at a mere fraction of what classical analytics solutions cost, while at the same time getting the results you need, incrementally faster. This book explains how the confluence of these pivotal technologies gives you enormous power, and cheaply, when it comes to huge datasets. You will begin by learning how cloud infrastructure makes it possible to scale your code to large amounts of processing units, without having to pay for the machinery in advance. From there you will learn how Apache Spark, an open source framework, can enable all those CPUs for data analytics use. Finally, you will see how services such as Databricks provide the power of Apache Spark, without you having to know anything about configuring hardware or software. By removing the need for expensive experts and hardware, your resources can instead be allocated to actually finding business value in the data. This book guides you through some advanced topics such as analytics in the cloud, data lakes, data ingestion, architecture, machine learning, and tools, including Apache Spark, Apache Hadoop, Apache Hive, Python, and SQL. Valuable exercises help reinforce what you have learned. What You Will Learn Discover the value of big data analytics that leverage the power of the cloud Get started with Databricks using SQL and Python in either Microsoft Azure or AWS Understand the underlying technology, and how the cloud and Apache Spark fit into the bigger picture See how these tools are used in the real world Run basic analytics, including machine learning, on billions of rows at a fraction of a cost or free Who This Book Is For Data engineers, data scientists, and cloud architects who want or need to run advanced analytics in the cloud. It is assumed that the reader has data experience, but perhaps minimal exposure to Apache Spark and Azure Databricks. The book is also recommended for people who want to get started in the analytics field, as it provides a strong foundation.
    Note: Online resource; Title from title page (viewed June 11, 2020) , Mode of access: World Wide Web.
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  • 77
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : MIT Sloan Management Review | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (8 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Technology innovation has created a new ethical paradigm. As companies specialize in delivering single components of complex systems, value chains are being reshaped across industries. Product interfaces are becoming standardized, and companies are profiting by perfecting narrow slices of the value chain. This rapid modularization has magnified the ethical implications of every business decision. As businesses work to delight consumers, they must also protect the public trust.
    Note: Online resource; Title from title page (viewed March 10, 2020) , Mode of access: World Wide Web.
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  • 78
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    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: 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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  • 79
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (35 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Welcome to the new normal. In part two of his essay series, 21 Technologies for the 21st Century, Tim O'Reilly examines seven technologies that almost seem like "old news" but are now exploding into the mainstream. This is how change happens: "gradually then suddenly." Inspired by his essay "Welcome to the 21st Century," this four-part series explores 21 technologies that are reshaping the world. Each essay in this series focuses on skills that will increase your ability to respond to these impending changes. You'll also learn about resources on O'Reilly online learning that will help you acquire these skills. The complete essay series includes: Table Stakes -Fundamental skills that should be part of any robust strategy for dealing with changes that lie ahead The New Normal -Established technologies still in the early stage of adoption that are already accelerating into the mainstream The Future Is Knocking -Market opportunities that have the power to utterly transform our economy. What will be the next Silicon Valley? Wild Cards -Technology breakthroughs that could open up new opportunities that, at present, are just the stuff of science fiction Explore "The New Normal" and continue your journey into 21 technologies that will help all of us face this challenging and uncertain future.
    Note: Online resource; Title from title page (viewed June 22, 2020) , Mode of access: World Wide Web.
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  • 80
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : New Riders | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (256 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: WE DESIGN TO ELICIT RESPONSES from people. We want them to buy something, read more, or take action of some kind. Designing without understanding what makes people act the way they do is like exploring a new city without a map: results will be haphazard, confusing, and inefficient. This book combines real science and research with practical examples to deliver a guide every designer needs. With this book you'll design more intuitive and engaging apps, software, websites and products that match the way people think, decide and behave. INCREASE THE EFFECTIVENESS OF YOUR PRODUCTS. Apply psychology and behavioral science to your designs. Here are some of the questions this book will answer: What grabs and holds attention. What makes memories stick? What is more important, peripheral or central vision? Can you predict the types of errors people will make? What is the limit to someone's social circle? What line length for text is best? Are some fonts better than others? These are just a few of the questions that the book answers in its deep-dive exploration of what makes people tick.
    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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    Online Resource
    [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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  • 82
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484258965
    Language: English
    Pages: 1 online resource (138 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Learn how to use Webpack from installation to configuration without the hassle of complex examples. Webpack has become one of the most popular module bundlers in recent years; it's widely used by developers, companies, and organizations of all sizes, and many web frameworks use it for the management of their assets. If you are serious about web development these days then you must learn and understand Webpack. You will begin by installing and configuring Webpack, and learn how to write modular code. You'll then move onto understanding the usage of loaders and plugins with practical use cases, how to make aliases and resolve folders, cache busting, and installing third-party libraries such as jQuery, Bootstrap, QuillJS, and more. By the end of this book you will feel confident and ready to start using Webpack in your projects. Free from complex examples and intended to be as easy-to-follow as possible, this book is ideal for anyone who knows basic HTML, JavaScript, and how to work on the command line. Upgrade your developer skillset using Webpack for Beginners today. What You Will Learn Install and configure Webpack beyond the default settings Efficiently work with plugins and loaders Optimize Webpack for production Use instant refreshing with the Webpack dev server and hot module replacement Explore how to install some common JavaScript libraries Who This Book Is For This book is conceived for beginners and newcomers to Webpack, and assumes you have some very basic knowledge in JavaScript, HTML and working on the command line. This step-by-step guide will help you understand and clarify everything you need to know to bundle your JavaScript hassle-free.
    Note: Online resource; Title from title page (viewed June 25, 2020) , Mode of access: World Wide Web.
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  • 83
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781800200708
    Language: English
    Pages: 1 online resource (550 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learning how to apply unsupervised algorithms on unlabeled datasets from scratch can be easier than you thought with this beginner's workshop, featuring interesting examples and activities Key Features Get familiar with the ecosystem of unsupervised algorithms Learn interesting methods to simplify large amounts of unorganized data Tackle real-world challenges, such as estimating the population density of a geographical area Book Description Do you find it difficult to understand how popular companies like WhatsApp and Amazon find valuable insights from large amounts of unorganized data? The Unsupervised Learning Workshop will give you the confidence to deal with cluttered and unlabeled datasets, using unsupervised algorithms in an easy and interactive manner. The book starts by introducing the most popular clustering algorithms of unsupervised learning. You'll find out how hierarchical clustering differs from k-means, along with understanding how to apply DBSCAN to highly complex and noisy data. Moving ahead, you'll use autoencoders for efficient data encoding. As you progress, you'll use t-SNE models to extract high-dimensional information into a lower dimension for better visualization, in addition to working with topic modeling for implementing natural language processing (NLP). In later chapters, you'll find key relationships between customers and businesses using Market Basket Analysis, before going on to use Hotspot Analysis for estimating the population density of an area. By the end of this book, you'll be equipped with the skills you need to apply unsupervised algorithms on cluttered datasets to find useful patterns and insights. What you will learn Distinguish between hierarchical clustering and the k-means algorithm Understand the process of finding clusters in data Grasp interesting techniques to reduce the size of data Use autoencoders to decode data Extract text from a large collection of documents using topic modeling Create a bag-of-words model using the CountVectorizer Who this book is for If you are a data scientist who is just getting started and want to learn how to implement machine learning algorithms to build predictive models, then this book is for you. To expedite the learning process, a solid understanding of the Python programming language is recommended, as you'll be editing classes and functions instead of creating them from scratch.
    Note: Online resource; Title from title page (viewed July 29, 2020) , Mode of access: World Wide Web.
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  • 84
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Berrett-Koehler Publishers | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (192 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: "This is the most important, dynamic book on the cancers of monopoly by giant corporations written in our generation."-from the foreword by Ralph Nader American monopolies dominate, control, and consume most of the energy of our entire economic system; they function the same as cancer does in a body, and, like cancer, they weaken our systems while threatening to crash the entire body economic. American monopolies have also seized massive political power and use it to maintain their obscene profits and CEO salaries while crushing small competitors. But Thom Hartmann, America's #1 progressive radio host, shows we've broken the control of behemoths like these before, and we can do it again. Hartmann takes us from the birth of America as a revolt against monopoly (remember the Boston Tea Party?), to the largely successful efforts of both Presidents Theodore and Franklin Roosevelt and other like-minded leaders to restrain corporations' monopolistic urges, to the massive changes in the rules of business starting during the "Reagan Revolution" that have brought us to the cancer stage of capitalism. He shows the damage monopolies have done to so many industries: agriculture, healthcare, the media, and more. Individuals have taken a hit as well: the average American family pays a [dollar]5,000 a year "monopoly tax" in the form of higher prices for everything from pharmaceuticals to airfare to household goods and food. But Hartmann also describes commonsense, historically rooted measures we can take-such as revitalizing antitrust regulation, taxing great wealth, and getting money out of politics-to pry control of our country from the tentacles of the monopolists.
    Note: Online resource; Title from title page (viewed August 25, 2020) , Mode of access: World Wide Web.
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  • 85
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    Online Resource
    [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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  • 86
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    Online Resource
    [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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  • 87
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    Online Resource
    [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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  • 88
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    [Erscheinungsort nicht ermittelbar] : Take Control Books | Boston, MA : Safari
    ISBN: 9781947282315
    Language: English
    Pages: 1 online resource (174 pages)
    Edition: 4th edition
    Keywords: Electronic books ; local
    Abstract: Version 4.1, updated January 25, 2020 Wrangling your web passwords can be easy and secure, thanks to 1Password , the popular password manager from AgileBits. In this book, Joe Kissell brings years of real-world 1Password experience into play to explain not only how to create, edit, and enter web login data easily , but also how to autofill contact and credit card info when shopping online, audit your passwords and generate better ones, handle two-factor authentication (2FA) , and sync and share passwords in various ways-including a hosted 1Password account (individual, family, or team), iCloud or Dropbox. The book focuses on 1Password 7 for Mac and Windows, but it also provides details and directions for the iOS and Android versions of 1Password. It briefly covers 1Password X, a chrome extension that brings 1Password to Chrome OS and Linux. Topics include: Meet 1Password: Set your master password, explore the various 1Password components, and decide on your ideal usage strategy. Master logins: In 1Password, a typical login contains a set of credentials used to sign in to a website. Find out how to create logins, sort them, search them, tag them, and more. You'll also find help with editing logins-for example, changing a password or adding further details. Understand password security: Get guidance on what makes for a good password, and read Joe's important Password Dos and Don'ts. A special topic covers how to perform a security audit in order to improve poor passwords quickly. Go beyond web logins: A primary point of 1Password is to speed up web logins, but 1Password can also store and autofill contact information (for more than one identity, even), along with credit card information. You'll also find advice on storing passwords for password-protected files and encrypted disk images, plus ideas for keeping track of confidential files, software licenses, scans of important cards or documents, and more. Sync your passwords: Discover which 1Password syncing solution is right for you: a hosted 1Password account, Dropbox, iCloud, a manually synced folder, or even device-to-device Wi-Fi sync. Share your passwords: Learn to store passwords in shared vaults within a family or team hosted account. You'll also discover the answers to key questions, including: What are my options for licensing 1Password? What are the differences between vaults in 1Password accounts and standalone vaults? Should I keep using my web browser's autofill feature? What about ...
    Note: Online resource; Title from title page (viewed January 25, 2020) , Mode of access: World Wide Web.
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  • 89
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (306 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Perform a wide variety of computer vision tasks such as image processing and manipulation, feature and object detection, and image restoration to build real-life computer vision applications Key Features Explore the potential of computer vision with Raspberry Pi and Python programming Perform computer vision tasks such as image processing and manipulation using OpenCV and Raspberry Pi Discover easy-to-follow examples and screenshots to implement popular computer vision techniques and applications Book Description Raspberry Pi is one of the popular single-board computers of our generation. All the major image processing and computer vision algorithms and operations can be implemented easily with OpenCV on Raspberry Pi. This updated second edition is packed with cutting-edge examples and new topics, and covers the latest versions of key technologies such as Python 3, Raspberry Pi, and OpenCV. This book will equip you with the skills required to successfully design and implement your own OpenCV, Raspberry Pi, and Python-based computer vision projects. At the start, you'll learn the basics of Python 3, and the fundamentals of single-board computers and NumPy. Next, you'll discover how to install OpenCV 4 for Python 3 on Raspberry Pi, before covering major techniques and algorithms in image processing, manipulation, and computer vision. By working through the steps in each chapter, you'll understand essential OpenCV features. Later sections will take you through creating graphical user interface (GUI) apps with GPIO and OpenCV. You'll also learn to use the new computer vision library, Mahotas, to perform various image processing operations. Finally, you'll explore the Jupyter Notebook and how to set up a Windows computer and Ubuntu for computer vision. By the end of this book, you'll be able to confidently build and deploy computer vision apps. What you will learn Set up a Raspberry Pi for computer vision applications Perform basic image processing with libraries such as NumPy, Matplotlib, and OpenCV Demonstrate arithmetical, logical, and other operations on images Work with a USB webcam and the Raspberry Pi Camera Module Implement low-pass and high-pass filters and understand their applications in image processing Cover advanced techniques such as histogram equalization and morphological transformations Create GUI apps with Python 3 and OpenCV Perform machine learning with K-means clustering and image quantization Who this book is for This book is...
    Note: Online resource; Title from title page (viewed June 29, 2020) , Mode of access: World Wide Web.
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  • 90
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    [Erscheinungsort nicht ermittelbar] : Association for Talent Development | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (328 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: A Step-by-Step Guide to Showing the Value of Soft Skill Programs As organizations rise to meet the challenges of technological innovation, globalization, changing customer needs and perspectives, demographic shifts, and new work arrangements, their mastery of soft skills will likely be the defining difference between thriving and merely surviving. Yet few executives champion the expenditure of resources to develop these critical skills. Why is that and what can be done to change this thinking? For years, managers convinced executives that soft skills could not be measured and that the value of these programs should be taken on faith. Executives no longer buy that argument but demand the same financial impact and accountability from these functions as they do from all other areas of the organization. In Proving the Value of Soft Skills , measurement and evaluation experts Patti Phillips, Jack Phillips, and Rebecca Ray contend that efforts can and should be made to demonstrate the effect of soft skills. They also claim that a proven methodology exists to help practitioners articulate those effects so that stakeholders' hearts and minds are shifted toward securing support for future efforts. This book reveals how to use the ROI Methodology to clearly show the impact and ROI of soft skills programs. The authors guide readers through an easy-to-apply process that includes: business alignment design evaluation data collection isolation of the program effects cost capture ROI calculations results communication. Use this book to align your programs with organizational strategy, justify or enhance budgets, and build productive business partnerships. Included are job aids, sample plans, and detailed case studies.
    Note: Online resource; Title from title page (viewed August 4, 2020) , Mode of access: World Wide Web.
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  • 91
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    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781839214110
    Language: English
    Pages: 1 online resource (660 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Learn proven patterns, techniques, and tricks to take full advantage of the Node.js platform. Master well-known design principles to create applications that are readable, extensible, and that can grow big. Key Features Learn how to create solid server-side applications by leveraging the full power of Node.js 14 Understand how Node.js works and learn how to take full advantage of its core components as well as the solutions offered by its ecosystem Avoid common mistakes and use proven patterns to create production grade Node.js applications Book Description In this book, we will show you how to implement a series of best practices and design patterns to help you create efficient and robust Node.js applications with ease. We kick off by exploring the basics of Node.js, analyzing its asynchronous event driven architecture and its fundamental design patterns. We then show you how to build asynchronous control flow patterns with callbacks, promises and async/await. Next, we dive into Node.js streams, unveiling their power and showing you how to use them at their full capacity. Following streams is an analysis of different creational, structural, and behavioral design patterns that take full advantage of JavaScript and Node.js. Lastly, the book dives into more advanced concepts such as Universal JavaScript, scalability and messaging patterns to help you build enterprise-grade distributed applications. Throughout the book, you'll see Node.js in action with the help of several real-life examples leveraging technologies such as LevelDB, Redis, RabbitMQ, ZeroMQ, and many others. They will be used to demonstrate a pattern or technique, but they will also give you a great introduction to the Node.js ecosystem and its set of solutions. What you will learn Become comfortable with writing asynchronous code by leveraging callbacks, promises, and the async/await syntax Leverage Node.js streams to create data-driven asynchronous processing pipelines Implement well-known software design patterns to create production grade applications Share code between Node.js and the browser and take advantage of full-stack JavaScript Build and scale microservices and distributed systems powered by Node.js Use Node.js in conjunction with other powerful technologies such as Redis, RabbitMQ, ZeroMQ, and LevelDB Who this book is for This book is for developers and software architects who have some prior basic knowledge of JavaScript and Node.js and now want to get the most out o...
    Note: Online resource; Title from title page (viewed July 29, 2020) , Mode of access: World Wide Web.
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  • 92
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (66 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Alongside its popular web server, NGINX now provides a dynamic HTTP server that supports a configuration via a RESTful JSON API. The open source NGINX Unit server deploys configuration changes without service disruptions and runs apps built with multiple languages and frameworks. This updated cookbook shows developers, DevOps personnel, network administrators, and cloud infrastructure pros how to get started with this new server quickly. Hands-on recipes demonstrate NGINX Unit's new approach and show you how to deploy and configure this server for different applications. You'll learn how the comprehensive RESTful API simplifies configuration, how to run applications written in different languages on the same server, and how to use NGINX Unit as the foundation for your application environment. Author Derek DeJonghe includes recipes to help you: Install NGINX Unit using source code, Red Hat- and Debian-based systems, or third-party repositories Configure the server using application, router, and listener objects Learn how NGINX Unit fits into your application ecosystem Integrate NGINX Unit with the WordPress content management system and the Django web application framework
    Note: Online resource; Title from title page (viewed September 3, 2020) , Mode of access: World Wide Web.
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  • 93
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : SAS Institute | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (102 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Cut through the complexity of model risk management with a guide to solutions from SAS! There is an increasing demand for more model governance and model risk awareness. At the same time, high-performing models are expected to be deployed faster than ever. SAS Model Risk Management is a user-friendly, web-based application that facilitates the capture and life cycle management of statistical model-related information. It enables all stakeholders in the model life cycle - developers, validators, internal audit, and management - to get overview reports as well as detailed information in one central place. Model Risk Management with SAS introduces you to the features and capabilities of this software, including the entry, collection, transfer, storage, tracking, and reporting of models that are drawn from multiple lines of business across an organization. This book teaches key concepts, terminology, and base functionality that are integral to SAS Model Risk Management through hands-on examples and demonstrations. With this guide to SAS Model Risk Management, your organization can be confident it is making fact-based decisions and mitigating model risk.
    Note: Online resource; Title from title page (viewed June 29, 2020) , Mode of access: World Wide Web.
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  • 94
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (21 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Everyone's talking about microservices. Who's actually doing it?
    Note: Online resource; Title from title page (viewed July 7, 2020) , Mode of access: World Wide Web.
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  • 95
    Language: English
    Pages: 1 online resource (288 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Three top Wall Street analysts reveal enduring lessons in sustainable success from the great industrial titans-the high-tech companies of their day-to the disruptors that now dominate the economy. Before Silicon Valley disrupted the world with new technologies and business models, America's industrial giants paved the way. Companies like General Electric, United Technologies, and Caterpillar were the Google and Amazon of their day, setting gold standards in innovation, growth, and profitability. Today's leaders can learn a great deal from their successes, as well as their missteps. In this essential guide, three veteran Wall Street analysts reveal timeless lessons from the titans of industry-and offer battle-tested survival tactics for an ever-changing world. You'll learn: how GE became the largest company on earth-only for a culture of arrogance to set in motion the largest collapse in history how Boeing reassessed risks, raised profits-and tragically lost its balance how Danaher avoided the pitfalls of tremendous success-by continually reinventing itself how Honeywell experienced a near-fatal cultural breakdown-and executed a flawless turnaround how Caterpillar relied too much on forecasting, lost billions-and rallied by recommitting to the basics Filled with illuminating case studies and brilliant in-depth analysis, this invaluable book provides a multitude of insights that will help you weather market upheavals, adapt to disruptions, and optimize your resources to your best advantage. You'll learn hard-won lessons in innovation, growth, resilience, and operational excellence, as well as the time-proven fundamentals of continuous improvement for lasting success. In the end, you'll have your own personal toolbox of useful takeaways from more than a century's worth of data, experience, wisdom, and can-do spirit, courtesy of some of the greatest business enterprises of all time. This is how manufacturers survived the first disruptors of technology-and how today's giants can survive and thrive during continuous cycles of disruption.
    Note: Online resource; Title from title page (viewed July 14, 2020) , Mode of access: World Wide Web.
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  • 96
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (646 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get started with writing simple programs in C while learning the skills that will help you work with practically any programming language Key Features Learn essential C concepts such as variables, data structures, functions, loops, and pointers Get to grips with the core programming aspects that form the base of many modern programming languages Explore the expressiveness and versatility of the C language with the help of sample programs Book Description C is a powerful general-purpose programming language that is excellent for beginners to learn. This book will introduce you to computer programming and software development using C. If you're an experienced developer, this book will help you to become familiar with the C programming language. This C programming book takes you through basic programming concepts and shows you how to implement them in C. Throughout the book, you'll create and run programs that make use of one or more C concepts, such as program structure with functions, data types, and conditional statements. You'll also see how to use looping and iteration, arrays, pointers, and strings. As you make progress, you'll cover code documentation, testing and validation methods, basic input/output, and how to write complete programs in C. By the end of the book, you'll have developed basic programming skills in C, that you can apply to other programming languages and will develop a solid foundation for you to advance as a programmer. What you will learn Understand fundamental programming concepts and implement them in C Write working programs with an emphasis on code indentation and readability Break existing programs intentionally and learn how to debug code Adopt good coding practices and develop a clean coding style Explore general programming concepts that are applicable to more advanced projects Discover how you can use building blocks to make more complex and interesting programs Use C Standard Library functions and understand why doing this is desirable Who this book is for This book is written for two very diverse audiences. If you're an absolute beginner who only has basic familiarity with operating a computer, this book will help you learn the most fundamental concepts and practices you need to know to become a successful C programmer. If you're an experienced programmer, you'll find the full range of C syntax as well as common C idioms. You can skim through the explanations and focus primarily on the source code provided.
    Note: Online resource; Title from title page (viewed June 26, 2020) , Mode of access: World Wide Web.
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  • 97
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484250709
    Language: English
    Pages: 1 online resource (622 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: This book introduces a new approach to embedded development, grounded in modern, industry-standard JavaScript. Using the same language that powers web browsers and Node.js, the Moddable SDK empowers IoT developers to apply many of the same tools and techniques used to build sophisticated websites and mobile apps. The Moddable SDK enables you to unlock the full potential of inexpensive microcontrollers like the ESP32 and ESP8266. Coding for these microcontrollers in C or C++ with the ESP-IDF and Arduino SDKs works for building basic products but doesn't scale to handle the increasingly complex IoT products that customers expect. The Moddable SDK adds the lightweight XS JavaScript engine to those traditional environments, accelerating development with JavaScript while keeping the performance benefits of a native SDK. Building user interfaces and communicating over the network are two areas where JavaScript really shines. IoT Development for ESP32 and ESP8266 with JavaScript shows you how to build responsive touch screen user interfaces using the Piu framework. You'll learn how easy it is to securely send and receive JSON data over Wi-Fi with elegant JavaScript APIs for common IoT protocols, including HTTP/HTTPS, WebSocket, MQTT, and mDNS. You'll also learn how to integrate common sensors and actuators, Bluetooth Low Energy (BLE), file systems, and more into your projects, and you'll see firsthand how JavaScript makes it easier to combine these diverse technologies. If you're an embedded C or C++ developer who has never worked in JavaScript, don't worry. This book includes an introduction to the JavaScript language just for embedded developers experienced with C or C++. What You'll Learn Building, installing, and debugging JavaScript projects on the ESP32 and ESP8266 Using modern JavaScript for all aspects of embedded development with the Moddable SDK Developing IoT products with animated user interfaces, touch input, networking, BLE, sensors, actuators, and more Who This Book Is For Professional embedded developers who want the speed, flexibility, and power of web development in their embedded software work Makers who want a faster, easier way to build their hobby projects Web developers working in JavaScript who want to extend their skills to hardware products
    Note: Online resource; Title from title page (viewed June 25, 2020) , Mode of access: World Wide Web.
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  • 98
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (276 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Become a proficient NLP data scientist by developing deep learning models for NLP and extract valuable insights from structured and unstructured data Key Features Get to grips with word embeddings, semantics, labeling, and high-level word representations using practical examples Learn modern approaches to NLP and explore state-of-the-art NLP models using PyTorch Improve your NLP applications with innovative neural networks such as RNNs, LSTMs, and CNNs Book Description In the internet age, where an increasing volume of text data is generated daily from social media and other platforms, being able to make sense of that data is a crucial skill. With this book, you'll learn how to extract valuable insights from text by building deep learning models for natural language processing (NLP) tasks. Starting by understanding how to install PyTorch and using CUDA to accelerate the processing speed, you'll explore how the NLP architecture works with the help of practical examples. This PyTorch NLP book will guide you through core concepts such as word embeddings, CBOW, and tokenization in PyTorch. You'll then learn techniques for processing textual data and see how deep learning can be used for NLP tasks. The book demonstrates how to implement deep learning and neural network architectures to build models that will allow you to classify and translate text and perform sentiment analysis. Finally, you'll learn how to build advanced NLP models, such as conversational chatbots. By the end of this book, you'll not only have understood the different NLP problems that can be solved using deep learning with PyTorch, but also be able to build models to solve them. What you will learn Use NLP techniques for understanding, processing, and generating text Understand PyTorch, its applications and how it can be used to build deep linguistic models Explore the wide variety of deep learning architectures for NLP Develop the skills you need to process and represent both structured and unstructured NLP data Become well-versed with state-of-the-art technologies and exciting new developments in the NLP domain Create chatbots using attention-based neural networks Who this book is for This PyTorch book is for NLP developers, machine learning and deep learning developers, and anyone interested in building intelligent language applications using both traditional NLP approaches and deep learning architectures. If you're looking to adopt modern NLP techniques and models for your d...
    Note: Online resource; Title from title page (viewed July 9, 2020) , Mode of access: World Wide Web.
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  • 99
    Language: English
    Pages: 1 online resource (288 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Deliver unprecedented customer value and seize your competitive edge with a transformative digital supply network Digital tech has disrupted life and business as we know it, and supply chain management is no exception. But how exactly does digital transformation affect your business? What are the breakthrough technologies and their capabilities you need to know about? How will digital transformation impact skills requirements and work in general? Do you need to completely revamp your understanding of supply chain management? And most importantly: How do you get started? Digital Supply Networks provides clear answers to these and many other questions. Written by an experienced team comprised of Deloitte consultants and leading problem-driven scholars from a premier research university, this expert guide leads you through the process of improving operations building supply networks, increasing revenue, reimagining business models, and providing added value to customers, stakeholders, and society. You'll learn everything you need to know about: Stages of development, roles, capabilities, and the benefits of DSN Big data analytics including its attributes, security, and authority Machine learning, Artificial Intelligence, Blockchain, robotics, and the Internet of Things Synchronized planning, intelligent supply, and digital product development Vision, attributes, technology, and benefits of smart manufacturing, dynamic logistics, and fulfillment A playbook to guide the digital transformation journey Drawing from real world-experience and problem-driven academic research, the authors provide an in-depth account of the transformation to digitally connected supply networks. They discuss the limitations of traditional supply chains and the underlying capabilities and potential of digitally-enabled supply flows. The chapters burst with expert insights and real-life use cases grounded in tomorrow's industry needs. Success in today's hyper-competitive, fast-paced business landscape, characterized by the risk of black swan events, such as the 2020 COVID-19 global pandemic, requires the reimagination and the digitalization of complex demand-supply systems, more collaborative and connected processes, and smarter, more dynamic data-driven decision making-which can only be achieved through a fully integrated Digital Supply Network.
    Note: Online resource; Title from title page (viewed July 21, 2020) , Mode of access: World Wide Web.
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  • 100
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    ISBN: 9781484258026
    Language: English
    Pages: 1 online resource (439 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Work through engaging and practical deep learning projects using TensorFlow 2.0. Using a hands-on approach, the projects in this book will lead new programmers through the basics into developing practical deep learning applications. Deep learning is quickly integrating itself into the technology landscape. Its applications range from applicable data science to deep fakes and so much more. It is crucial for aspiring data scientists or those who want to enter the field of AI to understand deep learning concepts. The best way to learn is by doing. You'll develop a working knowledge of not only TensorFlow, but also related technologies such as Python and Keras. You'll also work with Neural Networks and other deep learning concepts. By the end of the book, you'll have a collection of unique projects that you can add to your GitHub profiles and expand on for professional application. What You'll Learn Grasp the basic process of neural networks through projects, such as creating music Restore and colorize black and white images with deep learning processes Who This Book Is For Beginners new to TensorFlow and Python.
    Note: Online resource; Title from title page (viewed July 24, 2020) , Mode of access: World Wide Web.
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