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  • 2015-2019  (329)
  • 1975-1979
  • Safari, an O’Reilly Media Company  (303)
  • Safari, an O'Reilly Media Company.  (26)
  • Electronic videos ; local  (329)
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Material
Language
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Year
Author, Corporation
Publisher
Keywords
  • 1
    Online Resource
    Online Resource
    The Airbnb Way : 5 Leadership Lessons for Igniting Growth through Loyalty, Community, and Belonging (Audio Book) (2019)
    [Erscheinungsort nicht ermittelbar] : McGraw-Hill | Boston, MA : Safari
    Details
    ISBN: 9781260455434
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 hr., 8 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks
    Abstract: An unprecedented inside look at how Airbnb and its host community create dynamic customer experiences and build brand loyalty
    Note: Online resource; Title from title screen (viewed October 14, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Getting Started with Adobe After Effects CC 2019 (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838986841
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 32 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Build an opener with animations, video footage, and visual effects using After Effects in this beginners' tutorial About This Video Build a fun and flashy intro to a comic book while learning and implementing Adobe After Effects Step-by-step instructions will ease you through your first professional project Learn not only how to use After Effects, but also the concepts behind high-quality work In Detail Whether you are a hobbyist or keen to become a professional video editor, learning a powerful tool such as Adobe After Effects can be a daunting task; however, in just 3.5 hours, this course breaks down the essentials of what you need to know to complete your first project. The course starts with a quick overview of the After Effects interface and some key concepts in motion graphics. In the following sections, you'll start working with the core features of After Effects by delving into video footage, graphics, animations, and effects. You will gain hands-on experience of professional concepts such as animation principles, typography, and color correction. Each section jumps right in and takes you through each step using fun artwork and new features to help build your skills. You will gain the foundational knowledge you need to create exceptional visual effects, extraordinary motion graphics, and exciting animated text for amazing video effects. You will learn how to animate objects; put them in motion; and change their size, rotation, and opacity over time and you'll discover how to apply and animate visual effects. Also, you will explore how to create shapes, perform color correction, and animate text. Through taking this course, you will create a professional-looking Intro for a comic book series, learning the core basics of After Effects along the way and becoming familiar with its newly-released features. By the end of this course, you will have the skills and knowledge of Adobe After Effects CC you need to produce compelling digital-media projects.
    Note: Online resource; Title from title screen (viewed January 31, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Connect First : 52 Simple Ways to Ignite Success, Meaning, and Joy at Work (Audio Book) (2019)
    [Erscheinungsort nicht ermittelbar] : McGraw-Hill | Boston, MA : Safari
    Details
    ISBN: 9781260457858
    Language: English
    Pages: 1 online resource (1 video file, approximately 9 hr., 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks
    Abstract: Business psychologist, advisor, and consultant to organizations across six continents, Dr. Melanie Katzman provides 52 proven ways to ignite productivity and to create a deeply rewarding work life by connecting to yourself, your organization, and the wider world. Readers will discover the outsized effect of small behavioral changes that will reduce the sense of loneliness and frustration at work and help them establish respect, grow loyalty, resolve conflict, fight fear, and make a real, lasting impact on others.
    Note: Online resource; Title from title screen (viewed October 22, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Building the Best : 8 Proven Leadership Principles to Elevate Others to Success (Audio Book) (2019)
    [Erscheinungsort nicht ermittelbar] : McGraw-Hill | Boston, MA : Safari
    Details
    ISBN: 9781260458183
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks
    Abstract: Popular Follow My Lead Podcaster John Eades delivers a proven method to boost staff performance, improve retention, and build a world-class team culture. Building the Best challenges readers to rethink what it means to be a leader today and gives them the tools to determine their current leadership style.
    Note: Online resource; Title from title screen (viewed November 5, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Time Series Analysis with Pandas (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Joshua Malina - Senior Machine Learning Engineer at AMEX Time series data is really fun to play with, but you have to know how to do it. In this talk, I dive into an open source data set to show you how Pandas makes time series data investigation more accessible. After this presentation, you will know about, time series decomposition, hypothesis testing and investigation, data quality issues related to time series, and resampling methods.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    Creating a Simple Angular App (Angular for Java Developers - Part 1) (2019)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 48 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Fullstack developers often earn higher salaries and have more career opportunities than developers who only specialize in front- or backends. Creating a Simple Angular App expands your Java skills by teaching you to build reactive, responsive, functional frontends using the Angular framework. You don't need any existing knowledge of Angular or JavaScript-everything required to start building stunning frontends is covered in the course. By referencing Java and Java web technology examples, this course makes it quick and easy for Java developers to upgrade their skills to Angular. In the first in a running series of five videos, you'll learn what Angular is, how to install Angular and set up a development environment, and how to build your first simple application. about the subject The Angular framework is used by millions of developers, powering frontends from simple prototypes to Google's own web apps. Prized for its scalability, Angular also offers lightning fast speed and response times and the chance to reuse code for both web and mobile. Best of all, it can be integrated with backends built in Java. about the video Angular for Java Developers is a five-part course that teaches Java programmers how to use Angular and JavaScript to build applications that are maintainable, testable, and secure. In Part One, you'll get to grips with how Angular works, what an Angular application looks like, and get started by creating your first simple Angular app. The video lays the groundwork for the case study example app you'll build throughout all five videos, the architecture of Angular applications, as well as creating your own custom components. Inside: Part 1 of 5 videos covering Angular frontends for Java applications Building responsive and reactive front-ends with Angular Installing Angular and setting up a development environment Building your first simple application For viewers with basic Java experience. Matt Greencroft has over twenty years of experience as a programmer, primarily working in the banking sector. Matt now teaches for Virtual Pair Programmers. His specialties are Microservices, Spring Boot, Apache Spark and Kotlin.
    Note: Online resource; Title from title screen (viewed December 6, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    Re-Inventing Customer Engagement Using Machine Learning (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Consumers today are less brand loyal and primarily driven by rewards, benefits and experiences. Constant changing customer preferences and card business economics point to a need for being hyper focused on customer engagement. In this presentation, Visa Consulting & Analytics showcases some of the approaches to increase customer engagement and improve retention using Machine Learning techniques on transactional data.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 8
    Online Resource
    Online Resource
    On the Road to More Holistic Player Understanding (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 31 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: One of the challenges seemingly all data scientists face is finding a clean data set which contains the state of the player right before they take some event in the system. Typically we need to interact with event-driven systems and/or databases that only maintain the current snapshot of the player. In this talk we highlight some work we have done to recreate the up to date snapshot of the player captured before each event and demonstrate how we can leverage this dataset to improve personalization and model the players' likelihood to churn.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 9
    Online Resource
    Online Resource
    The New Extraordinary Leader, 3rd Edition : Turning Good Managers into Great Leaders (Audio Book) (2019)
    [Erscheinungsort nicht ermittelbar] : McGraw-Hill | Boston, MA : Safari
    Details
    ISBN: 9781260455595
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 hr., 11 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks
    Abstract: From the top name in business leadership excellence-Zenger Folkman-this edition is updated with copious new research conducted over the past ten years. This landmark work gives serious business leaders everything they need to transform themselves from effective managers to extraordinary leaders.
    Note: Online resource; Title from title screen (viewed November 22, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 10
    Online Resource
    Online Resource
    Rust in Motion (2019)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 8 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: If you want to start with Rust I recommend this course without a doubt. Roberto Gammino, e-power In Rust in Motion , premier Rust experts Carol Nichols and Jake Goulding, introduce you to the Rust programming language! Designed for modern systems programming, Rust delivers impressive speed and thread-safe concurrency. As coauthor of The Rust Programming Language , Carol literally helped write "The Book," as the Rust community affectionately calls it. Jake created the Rust FFI Omnibus , and he's also the #1 contributor to the Rust tag on Stack Overflow. If you're ready to get started writing production-quality lightning-fast systems code, this course is for you! Rust in Motion is an all-access pass to Rust, brought to you by top authorities on the subject. Carol and Jake's masterful instruction jumpstarts your learning with a spotlight on what's different and special about Rust! This skilled duo challenges you to dig deeply into the nuts and bolts of variables, primitive data types, functions, control flow constructs, defining enums and structs, and adding behavior to them with methods. You'll learn memory management via ownership and borrowing, techniques for error handling, lifetime annotations, and other unique Rust concepts. With this course's code examples, inspired by real-world scenarios, you'll be ready to hit the ground running! Rust's popularity is surging among systems programmers. Aiming to be an alternative to C and C++, Rust's extraordinary speed comes largely from its memory safety, which it achieves without resource-greedy garbage collection. Other enticing features of this hot systems programming language include its rich type system, heavy functional programming influence, and freedom from a runtime requirement. Command line applications, networking, embedded services, and WebAssembly are some of the areas where Rust really shines! Inside: How to determine the data types of variables Rust's primitive data types How to write idiomatic functions Control flow constructs, including the match expression Defining your own data types using enums and structs Adding behavior to enums and structs with methods Ownership and borrowing Error handling Lifetime annotations Perfect for programmers with experience in a language like Java, JavaScript, Ruby, or Python. Carol Nichols co-authored The Rust Programming Language and is a member of the Rust Core Team. Jake Goulding is the creator of The Rust FFI Omnibus, a member of the Rust Inf...
    Note: Online resource; Title from title screen (viewed November 11, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 11
    Online Resource
    Online Resource
    Excel Pro Tips : 75+ Tips to go from Excel Beginner to Pro%% (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800203709
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 hr., 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Master 75+ Excel tips and techniques and become a certified POWER USER, with unique hands-on demos and real-world projects to help you wrangle, analyze, and visualize your data in Excel. About This Video Master some of the most powerful and effective tools and techniques used by Excel professionals Unique hands-on demos and real-world case studies Learn tools and techniques in quick, bite-sized lessons In Detail This course is not an introduction to Excel. It features some of the most powerful and effective tools and techniques used by Excel professionals, and shares them through crystal-clear demos and unique, real-world case studies. Unlike most Excel courses, this course is non-linear and constantly evolving, which means that you can jump to different sections or individual lectures freely. Each video is designed to be an independent and self-contained demo, to help you learn these tools and techniques in quick, bite-sized lessons. The Excel tips and techniques covered in this course fall into six categories: Productivity tips (navigation, flash fill, cell protection, advanced sorting & filtering, and more) Formatting tips (freeze panes, row/column grouping, advanced custom formats, and more) Formula tips (formula auditing tools, fuzzy lookups, detecting duplicates, randomization, and more) Visualization tips (sparklines, filled maps, custom templates, Excel form controls, and more) Pivot Table tips (slicers & timelines, custom layouts, value calculations, and more) Analytics tips (outlier detection, Monte Carlo simulation, forecasting, CUBE functions, and more) While the level of difficulty varies considerably, the demos generally start simple and become progressively more complex within each section. There are no strict prerequisites for this course, but keep in mind that some demos may be challenging without a strong foundational knowledge of underlying Excel concepts (such as Pivot Tables or formulas, for example). The codes are placed in the GitHub link as below- https://github.com/sanjanapackt/PacktPublishing-Excel-Pro-Tips-75--Tips-to-go-from-Excel-Beginner-to-Pro
    Note: Online resource; Title from title screen (viewed December 31, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 12
    Online Resource
    Online Resource
    C++ Standard Template Library in Practice (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781788834995
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 hr., 25 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Gain insights into the C++ STL using real-world examples About This Video Explore the latest C++ as the most important language and library features, including containers, algorithms, regular expressions, threads, and more Learn how to leverage the set of rich, fast, and well-tested utilities and functions provided by the C++ STL Take your development skills to new heights by making your applications fast, robust, and scalable In Detail C++ is one of the most widely used programming languages. Fast, efficient, and flexible, it is used to solve many problems. In particular, it is the Standard Template Library (STL) that gives C++ its power. In this course, we show you how. Using real-world examples, we focus on how STL handles and manipulates data. We examine containers and iterators, and how data can be transformed into meaningful information using algorithms. There is coverage of I/O streams, strings and numerical methods, and how performance can be optimized through careful consideration of memory allocation and manipulation. We also demonstrate how multitasking and shared data is handled through concurrency and parallelism classes and utilities. By the end of the course, you will understand the newer aspects of C++ STL and will be able to overcome tasks that are time-consuming or would break your stride while developing.
    Note: Online resource; Title from title screen (viewed October 17, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 13
    Online Resource
    Online Resource
    Applications of Embeddings and Deep Learning at Groupon (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Bojan Babic - Sr. Software Engineer at Groupon Groupon is a dynamic Marketplace where we try to match millions of the deals organized in different verticals and taxonomies with the demand across 20 countries around the world. Modeling such complex relationships requires sophisticated machine learning models that utilize hundreds of user and deal features. Customers discover deals by directly entering the search query or browsing on the mobile or desktop devices. The purpose of this paper is to describe a series of techniques used to improve various parts of Search and Ranking algorithms by utilizing the embeddings representations of the user and deal features. The paper will describe improvements made in Query Understanding, Deal Classification, Similar Deals Recommendations and computation of an Image Propensity to Purchase that leverage respective embedding feature representations.
    Note: Online resource; Title from title screen (viewed February 21, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 14
    Online Resource
    Online Resource
    Using Machine Learning to Target Households in Large Scale Direct Marketing (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Finding the right audience is the core marketing puzzle of all e-commerce businesses. While in the past this was mostly achieved using coarse segmentation and personas the broad availability of data makes nowadays possible to learn individual consumer preferences by training large scale machine learning models which can combine knowledge from thousands of dimensions and measurements. HelloFresh is the largest meal kit delivery service worldwide; in this talk, we will review how we use machine learning (gradient boosting machines) to acquire millions of customers every year and describe our large scale model training and scoring infrastructure.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 15
    Online Resource
    Online Resource
    Processing Raw Financial Data : Challenges and Solutions (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 21 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Connie Yee - Data Scientist at Bloomberg As the leading provider of financial and company data, Bloomberg has access to vast amounts of data on a daily basis. There are two common challenges when working directly with raw data. One is the need to discover and extract data represented in the natural document format that is not machine-readable. Another requirement is validating and ensuring that the data is of high-quality since it is required for building models for predictions, classifications, and various analytics tasks. This talk will cover ways in which data science and machine learning can be used to address these two challenges: (1) ingesting your data by extracting what is contained in natural document format and (2) cleaning your ingested data.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 16
    Online Resource
    Online Resource
    Testing in Xcode : Unit Testing, UI Testing, and Code Coverage (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484251928
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 23 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn automatic testing in Xcode. Start by creating a simple test app that intentionally crashes in given scenarios. Then review the code to find obvious bad practices and issues. Discover why unit testing is important and perform a simple unit test. Work with test cases before adding functionality. Then increase code coverage and learn why it's important. Finally work with different parts of the app to test specific functionality. What You'll Learn Set up different UI tests for testing different parts of an app Perform simple unit test cases in a project Use test cases before adding functionality to ensure quality apps Who This Video Is For Professional developers or experienced programmers who want to incorporate best practices for testing their apps before publishing them.
    Note: Online resource; Title from title screen (viewed July 8, 2019)
    URL: lizenzpflichtig
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  • 17
    Online Resource
    Online Resource
    Spotlight on Innovation : Predicting the Next Big Breakthrough with Nima Montazeri (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 57 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: With new technologies increasing the pace of innovation every day, companies demand a constant supply of fresh ideas. To be successful, an innovation process must deliver two things: a superior solution and a great market response. Once you have the former, how do you ensure the latter? It all starts by examining the key dimensions of a technology’s evolution and understanding how it’s delighting customers. Learn how to make better decisions about where to focus your innovation efforts and money. You’ll also find out—through two case studies—how backing the right industry innovations can pay off for your organization in a major way. Recorded on April 10, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Innovation , you’ll discover what successful companies have in common and how you can follow their lead with small practical steps to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed August 29, 2019)
    URL: lizenzpflichtig
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  • 18
    Online Resource
    Online Resource
    Spotlight on Cloud : Becoming Cloud Native with Jon Collins (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 0 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Startups seem to come out of nowhere, disrupting their markets and leaving traditional organizations to ask themselves how they too can adopt cloud-centric models and approaches. But just how realistic is this? Today’s enterprises are sometimes criticized for legacy thinking, but they also have to bear the burden of infrastructure, supply chains, security, governance frameworks, and customer drivers that can’t be changed at the flick of the switch. Here's the good news: enterprise concerns and cloud native principles may be better aligned than you think. Flexible infrastructure is becoming a staple of modern data centers. Microservices models align with software architecture best practices, while Agile innovation approaches such as DevOps are maturing in governance. At the same time, cybersecurity and risk management is an area of traditional strength, and operational principles used in the enterprise are as important as ever. Find out how businesses can adopt cloud native principles without throwing away what it means to be an enterprise. Recorded on May 2, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Cloud , you’ll learn about the complex, ever-evolving world of the cloud. You’ll discover how successful companies have adopted and embraced this massive network of shared information and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed September 17, 2019)
    URL: lizenzpflichtig
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  • 19
    Online Resource
    Online Resource
    Pragmatic AI and Machine Learning Core Principles (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 1 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 4+ Hours of Video Instruction Machine Learning is the scientific study of models and algorithms that train a computer to make predictions without explicit instruction. Machine Learning is a subset of Artificial Intelligence, which can be defined as computers that mimic human problem-solving. This video demonstrates the core principles of Machine Learning and AI, including supervised Machine Learning, unsupervised Machine Learning, neural networks, and social network theory. Learn to master the foundational concepts of AI and Machine Learning. The LiveLessons video starts with an overview of Artificial Intelligence and covers applications of AI across industries and opportunities in AI for individuals, organizations, and ecosystems. It also covers the difference between narrow, general, and super AI. Description Shore up the foundational knowledge necessary to work with Artificial Intelligence and Machine Learning! This LiveLesson video covers the core principles of Artificial Intelligence and Machine Learning, including how to frame a problem in terms of Machine Learning and how Machine Learning is different than statistics. Learn about fundamental concepts including nearest neighbors, decision trees, and neural networks. The video wraps up covering timely machine learning topics such as cluster analysis, dimensionality reduction, and social networks. Access the code repository for this LiveLesson at https://github.com/noahgift/fundamentals_ai_ml . About the Instructor Noah Gift is lecturer and consultant at UC Davis Graduate School of Management MSBA program the Graduate Data Science program, MSDS, at Northwestern, the Graduate Data Science program at UC Berkeley. He is teaching and designing graduate Machine Learning, AI, Data Science courses and consulting on Machine Learning and Cloud Architecture for students and faculty. These responsibilities include leading a multi-cloud certification initiative for students. Noah is a Python Software Foundation Fellow, AWS Subject Matter Expert (SME) on Machine Learning, AWS Certified Solutions Architect and AWS Academy Accredited Instructor, Google Certified Professional Cloud Architect, and Microsoft MTA on Python. Noah was selected to the SME Machine Learning team due to accomplishments in the area of Machine Learning on the AWS platform. He has published more than 100 technical publications, including several books on subjects ranging from Cloud Machine Learning to DevOps. Gift received an MBA fro...
    Note: Online resource; Title from title screen (viewed September 5, 2019)
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  • 20
    Online Resource
    Online Resource
    ODSC West 2018 (Open Data Science Conference) (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 49 hr., 17 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Royalties for this video set help fund ODSC community initiatives such as grants to open source projects, our diversity program, student travel grants, and other initiatives. The Open Data Science Conference has established itself as the leading conference in the field of applied data science. Each ODSC event offers a unique opportunity to learn directly from the core contributors, experts, academics and renowned instructors helping shape the field of data science and artificial intelligence Presentations cover not only data science modeling but also the languages and tools needed to deploy these models in the real world such as TensorFlow, MXNet, scikit-learn, Kubernetes, and many more. Our conferences are organized around focus areas to ensure our attendees are at the forefront of this fast emerging field and current with the latest data science languages, tools, and models. You’ll find in our East 2018 video catalog some of our most popular focus areas including: Deep Learning and Machine Learning Over the last 5 years, we have seen incredible advances in the field of data scientist thanks to breakthroughs in neural networks, transfer learning, reinforcement learning, and generative adversarial networks (GANs) to name a few. With the advent of Google Voice, Alexa, and other voice assistants, presentations on enabling technologies like NLP, RNNs, and LSTM are popular. Some session to note: OS for AI: How Serverless Computing Enables the Next Gen of ML—Jon Peck pomegranate: Fast and Flexible Probabilistic Modeling in Python—Jacob Schreiber Data Wrangling to Provide Solar Energy Access Across Africa—Brianna Schuyler, PhD The past, present, and future of Automated Machine Learning—Randy Olson, PhD Minimizing and Preventing Bias in AI—Frances Haugen Deep Learning on Mobile—Anirudh Koul State of the Art Natural Language Understanding at Scale—David Talby, PhD Latest Developments in GANS—Seth Weidman How to Reason About Stateful Streaming Machine Learning Serving—Lessons from Production—Patrick Boueri An Introduction to Active Learning—Jennifer Prendki, PhD How to use Satellite Imagery to be a Machine Learning Mantis Shrimp—Sean Patrick Gorman, PhD Core Data Science and Data Visualization As data science advances at a rapid pace, core skills are more important than ever. Our sessions range from beginner to advanced level for core topics. Additionally, data and models need to be actionable and data visualization remains a key skill in any data sci...
    Note: Online resource; Title from title screen (viewed July 15, 2019)
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    Perfect 3 Days Linux Course (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838983055
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 hr., 1 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Linux administration and command line About This Video Get to grips with fundamental Linux concepts Explore useful examples and smart tips throughout the course Benefit from the course’s easy-to-follow three-day learning schedule In Detail This course is designed to help you quickly get started with learning Linux. As you build on your knowledge, you’ll be able to confidently carry out Linux installation and even manage the Linux server by running commands. By spending only a few hours every day for three days, you’ll cover essential Linux concepts including the following: Day 1 – Installation, Configuration, File System and Basic Commands Day 2 – Linux System Administration Day 3 – Advanced Linux System Administration Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/Asif-packt/Perfect-3-Days-Linux-Course . If you require support please email: customercarepackt.com
    Note: Online resource; Title from title screen (viewed May 31, 2019)
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    O'Reilly Velocity Conference 2019 - San Jose, California (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 61 hr., 11 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: O’Reilly Media’s Velocity San Jose 2019 conference had one overarching goal: offer conference attendees the opportunity to gather expert insight on building and maintaining cloud native systems. How did Velocity meet that goal? By giving the world’s best cloud native system engineers, SREs, and DevOps experts the chance to share their experiences. For example: Alex Chen (Alibaba Cloud) described how cloud native storage products such as table storage, object storage, and log storage enabled the Alibaba platform to handle RMB 10B worth of sales in two minutes and five seconds. Ory Segal's (PureSec) revealed how attackers approach and exploit the weaknesses of serverless and what you can do about it. Nivia Henry (Spotify) demonstrated how an algorithm is built and what you can do to catch, reduce, or eliminate the algorithmic biases that produce infamous events like Tay the racist Twitter Bot. This video compilation contains all of these talks plus the best keynotes, tutorials, and tech sessions delivered at Velocity San Jose 2019. Looking to build your knowledge of how to build and maintain cloud native systems? Get this compilation and you’ll be on your way. Highlights include: Complete video recordings of Velocity San Jose 2019’s best tutorials, keynote speeches, and technical sessions—contains hours of material to review and study at your own pace and schedule. Cloud engineering tutorials, such as Patrick Meenan (Facebook) on fixing broken HTTP/2 deployments; Michael Kehoe (LinkedIn) on using Terraform to modernize your cloud infrastructure; and Ben Bleything (Google) on using the open source InSpec framework to build infrastructure and compliance tests. Keynotes from luminaries such as Liz Fong-Jones (Honeycomb), Everett Harper (Truss), Julie Horvath (Apple), Alex Qin (Code Cooperative), Lena Hall (Microsoft), and Jessica Kerr (Atomist). Sessions devoted to building secure and resilient systems, including Ian Coldwater’s (Independent) deep dive into Kubernetes CVE-2018-1002105 protections and Nora Jones (Slack) on the advanced approaches required for each piece of the chaos experiments cycle. Special sessions called “Overcoming Obstacles: Lessons in Resilience,” featuring the stories of cloud engineering success in the face of overwhelming barriers from practitioners such as Ryan Kitchens (Netflix), Tim Bonci (Vistaprint), and Tammy Butow (Gremlin). Sessions covering production engineering, SRE, and DevOps, including Charity Majors (Honeyco...
    Note: Online resource; Title from title screen (viewed June 12, 2019)
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    Machine Learning and Data Science with Python : A Complete Beginners Guide (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838980689
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Machine learning and data science for programming beginners using Python with scikit-learn, SciPy, Matplotlib and Pandas About This Video Learn machine learning and data science using Python A practical course designed for beginners who are interested in machine learning using Python In Detail Artificial intelligence, machine learning, and deep learning neural networks are the most used terms in the technology world today. They’re also the most misunderstood and confused terms. Artificial intelligence is a broad spectrum of science which tries to make machines intelligent like humans, while machine learning and neural networks are two subsets that sit within this vast machine learning platform. But in this course, you will focus mainly on machine learning, which will include preparing your machine to make it ready for a prediction test. You will be using Python as your programming language. Python is a great tool for the development of programs that perform data analysis and prediction. It has a variety of classes and features that perform complex mathematical analyses and provide solutions in just a few lines of code, making it easier for you to get up to speed with data science and machine learning. Machine learning and data science jobs are among the most lucrative in the technology industry in recent times. Exploring this course will help you get well-versed with essential concepts and prepare you for a career in these fields. Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/PacktPublishing/Machine-Learning-and-Data-Science-with-Python-A-Complete-Beginners-Guide . If you require support please email: customercarepackt.com
    Note: Online resource; Title from title screen (viewed May 29, 2019)
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    Learning React (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789612684
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 34 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Build beautiful, modern, and modularized UIs with React’s latest version About This Video Understand the core concepts involved in thinking and structuring code in React. Jump straight into any React project. Use tools and resources to accomplish your goals. In Detail Want to make the process of building modular, reusable user interface components simple and intuitive? React.js is the answer, with its Learn Once, Write Anywhere approach. This course will help you understand the power behind this approach and build beautiful, modern, and modularized UIs with React’s latest version. This course will cover all of the React.js basics such as its API, which will help you create elements and components; the virtual DOM and the JSX syntax extension; using state; working with browser events; and component lifecycle methods. You will build an application from scratch throughout the course and use the knowledge you've gained in a practical way. You will also learn to update various elements of a site or application seamlessly without delay, without disrupting the rest of the display or requiring the user to refresh. Also, get introduced to the new concept of hooks.. Finally, you will work with a server API to persist data using local storage.(Note that we use Node.js 10.13.0 for this course, which will run successfully with the React features we cover.) By the end of the course, you will be fully capable of using ReactJ.js tools to build several UI elements, making them reactive to user input, and extending your knowledge of DOM manipulation to customize your own UIs in the future. Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/PacktPublishing/Learning-React . If you require support please email: customercarepackt.com
    Note: Online resource; Title from title screen (viewed April 30, 2019)
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    Ionic 4 - Build iOS, Android and Web Apps with Ionic and Angular (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838828943
    Language: English
    Pages: 1 online resource (1 video file, approximately 19 hr., 34 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Build native iOS and Android as well as progressive web apps with Angular, Capacitor, and the Ionic framework About This Video Explore important Ionic components as well as concepts such as navigation (tabs and side-menus), user input, native device features (including camera), storage, HTTP, and authentication Learn how to run your apps in the browser, on an emulator, and on your own device! In Detail Ionic is one of the most exciting technologies you can learn. It enables you to use one codebase (written in HTML, JS, and CSS) to build and ship regular (progressive) web apps as well as native mobile apps for iOS and Android. This course will help you work with the latest version of Ionic from scratch. Angular (formerly Angular 2) allows you to create awesome web applications powered by TypeScript or JavaScript. The Ionic framework allows you to use your Angular knowledge to build web applications that can be compiled into native mobile apps, running on any iOS or Android device, and enables you to publish them as progressive web apps. You’ll use your existing Angular, HTML, JS, and CSS knowledge to build your native mobile apps and discover components that can be used to compose native-like user interfaces. The capacitor will handle the rest as it's used to then build a native mobile app for iOS/ Android based on your code. This allows you to make the most of your knowledge and release your application on all possible devices without having to learn different languages! No wonder that hybrid frameworks like Ionic are extremely popular and in high demand! Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/PacktPublishing/Ionic-4---Build-iOS-Android-and-Web-Apps-with-Ionic-and-Angular . If you require support please email: customercarepackt.com
    Note: Online resource; Title from title screen (viewed April 26, 2019)
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    Getting Started with Apple Watch Development : Swift Programming for watchOS (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484249185
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 0 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Create your own Apple Watch applications by learning the basics of Xcode and Swift, the programming language used for Apple application development. In this video, step-by-step instructions teach you how to independently navigate and utilize Apple’s development toolkit and Xcode program. By the end you will be able to write functional code in Swift and engineer your own basic Apple Watch applications. What You Will Learn Create several basic Apple Watch applications using Apple’s Swift programming language Download Xcode and master its essential elements Follow an example app to see just how apps are built Who This Video Is For Beginners who have little or no exposure to programming. The course stresses explaining industry jargon, navigating several components of Xcode, and introducing important Swift commands.
    Note: Online resource; Title from title screen (viewed April 6, 2019)
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    Content Marketing on The Web : Web Writing for Blogs, Business Sites, Sales Letters, and More (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484249598
    Language: English
    Pages: 1 online resource (1 video file, approximately 35 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Discover how to write for the web: either for your own brand or as a service that you provide to others. This video will include how to write a blog post, how to write website copy, how to write a persuasive sales script, and how to write SEO articles. The focus will always be on providing value and on understanding the value proposition of the brand that you are writing for. From there, you will look at methods you can use to grab attention, communicate clearly, keep the reader engaged and to encourage an emotional response. You'll cover the importance of content marketing for exposure as well as building trust, and just why writing is in many ways the currency of the web. Content is what brings the vast majority of people to a website. They search Google for content, they return to a website because they enjoyed the content. It is also what sells a product – and simply by improving a sales script, a company can massively increase conversions. Companies that don’t understand how to write for the web will therefore be at a massive disadvantage. This is common to see: we all have encountered countless business sites with muddled messages that fail to explain what the company actually does and why the reader should care. What You Will Learn Study methods you can use to increase engagement and grab attention Understand the role of content and content marketing Write content for email, white papers, press releases, and more Who This Video is For Businesses that are currently failing to make a splash with their websites and social media, or that could be doing better. Anyone looking to increase sales of a product, to increase regular visitors to a blog, or to learn a valuable skill they can sell/use to augment a web development business.
    Note: Online resource; Title from title screen (viewed May 4, 2019)
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    AWS Certified Big Data Specialty 2019 - In Depth and Hands On! (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838983383
    Language: English
    Pages: 1 online resource (1 video file, approximately 11 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Comprehensive, hands-on AWS Big Data Certification prep, including a practice exam! About This Video Explore Kinesis, EMR, DynamoDB, Redshift, and more Get well-versed with the core concepts necessary to work with AWS big data In Detail The AWS Certified Big Data Specialty exam is one of the most challenging certification exams you can take from Amazon. Achieving this certification validates your knowledge of big data systems. But even experienced technologists need to prepare heavily for this exam. This course sets you up for success by taking you through all the big data technologies covered in the exam and explaining how they fit together. Best-selling instructors Frank Kane and Stéphane Maarek have teamed up to deliver the most comprehensive and hands-on prep course yet. Together, they've taught over 300,000 people around the world. This course combines Stéphane's knowledge of AWS with Frank's experience in big data, gleaned during his 9-year career at Amazon. Both Frank and Stéphane have passed the exam themselves on the first try. The world of big data on AWS includes a dizzying array of technologies and services. This course covers the following topics in depth: Streaming massive data with AWS Kinesis Queuing messages with Simple Queue Service (SQS) Wrangling explosion data from the Internet of Things (IoT) Transitioning from small to big data with the AWS Database Migration Service (DMS) Storing massive data lakes with the Simple Storage Service (S3) Optimizing transactional queries with DynamoDB Applying neural networks at massive scale with Deep Learning, MXNet, and TensorFlow Applying advanced machine learning algorithms at scale with Amazon SageMaker Analyzing streaming data in real time with Kinesis Analytics Searching and analyzing petabyte-scale data with Amazon Elasticsearch Service Querying S3 data lakes with Amazon Athena Hosting large-scale data warehouses with Redshift and Redshift Spectrum Integrating smaller data with your big data using the Relational Database Service (RDS) and Aurora Visualizing your data interactively with Quicksight Keeping your data secure with encryption, KMS, HSM, IAM, Cognito, STS, and more Big data is an advanced certification, and it's best suited for anyone who has already obtained associate-level certification in AWS and has some data analytics experience. Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: http...
    Note: Online resource; Title from title screen (viewed May 31, 2019)
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    Using AutoML to automate selection of machine learning models and hyperparameters (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 43 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Automated machine learning (AutoML) enables both data scientists and domain experts (with limited machine learning training) to be productive and efficient. In recent years, AutoML has fostered a fundamental shift in how organizations approach machine learning, making it more accessible to both experts and nonexperts. Most real-world data science projects are time-consuming, resource intensive, and challenging. Besides data preparation, data cleaning, and feature engineering, data scientists often spend a significant amount of time on model selection and tuning of hyperparameters. Automated machine learning changes that, making it easier to build and use machine learning models in the real world. Francesca Lazzeri and Wee Hyong Tok (Microsoft) lead a gentle introduction to how AutoML works and the state-of-art AutoML capabilities that are available. You’ll learn how to use AutoML to automate selection of machine learning models and automate tuning of hyperparameters. Topics include: An introduction to AutoML How AutoML works The libraries and cloud services that support AutoML An energy demand forecasting use case How to get started with automated machine learning This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Unblocked (Audio Book) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 hr., 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks ; local
    Abstract: Imagine it's 1994 and the dawn of the internet. In many ways, it is. A growing army of pioneers is once again laying the rails for a new digital world. Like the first digital revolution, this one will also transform the way we live, work and play. It will disrupt entrenched industries. And shatter conventional business models. With so much at stake, how do you prepare? Unblocked takes you past the hype and insider speak to show you what blockchains are and how they’re poised to change our world. Blockchains are more than flexible multi-tools that hold promise to solve our most pressing digital problems including privacy risks, hacks, data misuse, fakes and fraud. Along with a family of related technologies, they are a social movement that offers an abundance of opportunity for those who know how to leverage them. Unblocked explains: Why ignoring this technology exposes you to competitive disruption What's coming in this next era—no technical background required How to prepare your organization to respond to the coming shift
    Note: Online resource; Title from title screen (viewed July 18, 2019)
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    The Complete Apache Groovy Developer Course (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781839217876
    Language: English
    Pages: 1 online resource (1 video file, approximately 13 hr., 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn how to program using Apache Groovy. About This Video Covered topics are in-depth and very easy to follow for anyone with some prior Java experience. This course builds a good baseline for development in Groovy. The less technical background lectures promote a deeper understanding of Groovy as a language. In Detail Are you looking to learn a new language? Learning a new language helps expand your skillset as a developer and make you more marketable to employers. If you aren't learning a new language because it's not the one you use at work, the author thinks you are missing out on the benefits. He often finds that seeing how other languages solve problems makes me a better developer with the languages he uses on a day to day basis. He is here to tell you all about an awesome dynamic language called Apache Groovy. What is Apache Groovy? Apache Groovy is a powerful, optionally typed and dynamic language, with static-typing and static compilation capabilities for the Java platform, aimed at improving developer productivity thanks to a concise, familiar and easy to learn syntax. It integrates smoothly with any Java program and immediately delivers to your application powerful features, including scripting capabilities, Domain-Specific Language authoring, runtime, and compile-time meta-programming and functional programming. Who Should Learn Apache Groovy? He is going to teach you everything you need to know to start using the Groovy programming language. This course is really designed for 2 different types of people and he think's you will both benefit from it. If you’re a beginner programmer with a some experience in another language like Python or Ruby, this course is for you. Dynamic languages are generally thought of as easier for total beginners to learn because they’re flexible and fun. If you’re an existing Java Developer (Beginner or Experienced), this course is also for you. You will learn Groovy compliments the Java language and makes some of the complex tasks from Java concise and easy. Enroll Today! He has spent a lot of time putting together what he think's is the most complete course on Groovy on the market today. Please take the time to watch the preview videos and if you like what you see, click that enroll button and the author will see you inside!
    Note: Online resource; Title from title screen (viewed October 18, 2019)
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    Spotlight on Innovation : How Blockchain Will Change Your Business with Alison McCauley (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 53 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Blockchain: there’s a lot of excitement around this technology that decentralizes data, and even more opportunity. Ultimately, a business and social strategy that integrates blockchain can have a major impact on your organization, making it more efficient and increasing transparency. Recorded on January 9, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Innovation , you’ll discover what successful companies have in common and how you can follow their lead with small practical steps to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed August 1, 2019)
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    Spotlight on Data : Caching Big Data for Machine Learning at Uber with Zhenxiao Luo (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 1 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: From determining the most convenient rider pickup points to predicting the fastest routes, Uber uses data-driven machine learning to create seamless trip experiences. Within engineering, big data and machine learning inform decision-making processes across the board. As Uber expands to new markets, the ability to accurately and quickly use data to make predictions becomes even more important. In this case study, Uber’s Zhenxiao Luo details the company's machine learning architecture and talk about how Uber uses big data to power machine learning jobs. Recorded on June 17, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Data , you’ll learn about, discuss, and debate the tools, techniques, questions, and quandaries in the world of data. You’ll discover how successful companies leverage data effectively and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed October 4, 2019)
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    Sooner than you think : Neural interfaces are finally here (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 46 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: During the past decade, significant advancements in artificial intelligence and machine learning have expanded how we communicate and interact with the world. There are more screens and devices in our lives, but our ability to control these devices hasn’t kept pace. While controversial projects involving invasive brain-machine interfaces have been grabbing headlines, this technology is still decades away from exiting the lab and changing how we interact with the digital world for the better. Patrick Kaifosh outlines a future where we’ll be looking up at the world instead of down at our phones. With the launch of the CTRL-labs developer kit (CTRL-kit), noninvasive neural interfaces are finally here, and the possibilities are almost limitless. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Spotlight on Data : Data as an Asset with Friederike Schüür and Jen van der Meer (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 60 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Our online lives have long left data traces, and the adoption of smartphones, wearables, smart speakers, smart doorbells, and smart everything else has expanded the range of data-collection devices. The early practice of data science on exhaust data—data generated as the by-product of operations—primed the operational use of data. But we can now craft data assets that move beyond exhaust data to unlock an entire suite of new opportunities—new business models, new value propositions, and new methods of strengthening customer relationships. In this edition of Spotlight on Data , Friederike Schüür and Jen van der Meer present an approach to data strategy that goes beyond the mere operational use of data. You'll learn how our current thinking about data strategy—about everything from technology to people and process recommendations—must be reconfigured to move toward data as an asset: a strategy that accelerates and compounds and a set of smart choices that unlocks more value over time. Recorded on May 20, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Data , you’ll learn about, discuss, and debate the tools, techniques, questions, and quandaries in the world of data. You’ll discover how successful companies leverage data effectively and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed October 4, 2019)
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    Security principles for the working architect (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 51 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Security is an ever more important topic for system designers. As our world becomes digital, today’s safely hidden back office system is tomorrow’s public API, open to anyone on the internet with a hacking tool and time on their hands. So the days of hoping that security is someone else’s problem are over. The security community has developed a well-understood set of principles used to build systems that are secure (or at least securable) by design, but this topic often isn’t included in the training of software developers, who assume that it’s only relevant to security specialists. Even when principles are explained, they’re often shrouded in the jargon of the security engineering community, and so mainstream developers struggle to understand and apply them. Eoin Woods (Endava) explains why secure design matters and then introduces a set of 10 of the most important proven principles for designing secure systems, distilled from the wisdom of the security engineering community. He discusses each principle in the context of mainstream system design, rather than in the specialized language of security engineering, focusing on how it’s applied in practice to improve security. This session was recorded at the 2019 O'Reilly Software Architecture Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Redux Recipes (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
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    ISBN: 9781787282766
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 0 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Develop complex and maintainable web applications using Redux About This Video Combine the power of Redux with popular JavaScript libraries to make consistent web applications Explore various advanced techniques with this recipe-based guide to find a solution to numerous common problems you might come across while using Redux Learn to structure and maintain your web application with predictable state containers In Detail State management is absolutely critical in providing users with a well-crafted experience with minimal bugs. Redux provides a solid, stable, and mature solution to managing state in your React application. In this course, you’ll explore advanced state management techniques, router integration, and other common problems that you might encounter while developing your applications. The recipe-based approach allows you to quickly identify your problem and find a solution to it. This course also consists of various recipes that will help you to understand different test-case scenarios created in Redux. Once you are well-acquainted with Redux, the course will explicitly show you how they work in developing a consistent application with React and Angular. The code bundle for this video course is available at https://github.com/PacktPublishing/-Redux-Recipes Downloading the example code for this course: You can download the example code files for all Packt video courses you have purchased from your account at http://www.PacktPub.com . If you purchased this course elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.
    Note: Online resource; Title from title screen (viewed February 28, 2019)
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    Recommendation engines and mobile gaming (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 41 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Mobile gaming is a $50+ billion industry. Much of the industry’s growth has been fueled by the sale of in-game virtual resources and items to help players progress further or improve their overall gaming experience. One of the biggest concerns for mobile gaming developers is improving their overall monetization without getting in the way of players enjoying the game. KIXEYE—a developer of complex mobile strategy games—periodically provides its player base with a handful of in-app purchase options that provide different in-game content at different price points and discounts. The problem that companies run into using this model is what in-app purchases should be shown and when in order to maximize the number of in-app purchases. This is made more difficult at KIXEYE due to the massive number of in-app purchases available in the company’s games. So how do you solve this problem? Bysshe Easton and Thomas Dobbs explain how KIXEYE used hybrid recommendation engine techniques to create personalized in-app purchase recommendations for its customers, resulting in a 20%+ lift in user revenue. Along the way, they cover some parallelization techniques the company used to nearly eliminate scaling issues. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Real-time analytics at Uber : Bring SQL into everything (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: From determining the most convenient rider pickup points to predicting the fastest routes, Uber uses data-driven analytics to create seamless trip experiences. Uber’s analysts and engineers wanted to run real-time analytics with deep learning models. But copying data from one source to another is pretty expensive. Zhenxiao Luo explains how Uber supports real-time analytics with deep learning on the fly, without any data copying. He starts with the company’s big data infrastructure, specifically Hadoop, Spark, and Presto, and discusses how Uber uses Presto as an interactive SQL engine and deployed Hadoop Distributed File System, Pinot, MySQL, and Elasticsearch as storage solutions. He then details how Uber built a Presto Elasticsearch connector from scratch to support real-time analytics on heterogeneous data. He concludes by sharing the company’s production experience and roadmap. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Python A-Z - Learn Python Programming By Building 5 Projects (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781839212956
    Language: English
    Pages: 1 online resource (1 video file, approximately 12 hr., 21 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Python programming masterclass for beginners – learn all about Python 3 with object-oriented concepts, five projects and more! About This Video No prior knowledge of Python is required. You will learn how to write clean and proper Python code as we take you through the concepts, some example projects, and the proper programming structure. Acquire the prerequisite Python skills to move into specific branches of web development, data science, image processing, and more. In Detail Welcome to "Python Programming A-Z – Learn Python Programming by Building Five Projects," a course that takes you through your Python journey from beginner to advanced step by step. This course touches on every important concept of the latest version of Python, Python 3. Throughout the course, we will explore the most essential Python features: Basics of Python programming – expressions, variables, and printing output Python operators – the Python assignment operator, relational and logical operators, and short circuit operators Python conditionals and if statements Methods – parameters, arguments, and return values Object-oriented programming – classes and objects Encapsulation, inheritance, and abstract classes Python data structures in-depth – lists, sets, dictionaries, and tuples Conditionals – if/else statements and nested if/else Loops – for loops, while loops, break, and continue The mutability and immutability of Python’s basic types Built-in and user-defined modules Errors and exception handling – try, except, else, and finally Custom exceptions – raising exceptions and creating and raising a custom exception Data analysis with Pandas Face recognition with OpenCV Building a GUI application with Tkinter An automated Twitter bot with Tweepy Understanding the basics of databases and working with SQLite 3 Five projects with OpenCV, pandas, PyTube, Tkinter, Tweepy, and more After completing this course, you will be ready to work as an intern, fresher, or freelancer, and you will also be able to implement everything yourself! Most importantly, you will be ready to use the huge scope offered by Python programming.
    Note: Online resource; Title from title screen (viewed October 11, 2019)
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    O'Reilly Artificial Intelligence Conference 2019 - San Jose, California (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 91 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The O’Reilly Artificial Intelligence Conference San Jose 2019 was some of the world’s top AI practitioners sharing their AI passion and AI knowledge with thousands of attendees. It was Uber AI Lab’s Kenneth Stanley illuminating the future of AI with his talk about open-endedness learning. It was Danny Lange (Unity Technologies) on game environments that test the capabilities of AI-trained agents; Yi Zhang (University of California, Santa Cruz) on chatbots and the nearness of true conversational computing; and Hagay Lupesko (Facebook) on the challenges of mega-scale, deep learning-based personalization modeling. In short, AI San Jose 2019 was a mind-blower and this video compilation gives you access to virtually all of it with hours of material to peruse, study, and absorb on your own schedule. Highlights include: Complete video recordings of the best of AI San Jose 2019’s keynote addresses, deep dive tutorials, and technical sessions. Keynote addresses from AI thought leaders such as Andrew Feldman (Cerebras Systems), Sahika Genc (AWS DeepRacer/SageMaker RL), and Mike Jordan (UC Berkeley). Unrestricted access to the exclusive AI Business Summit’s executive briefings, best practice sessions, and tutorials led by AI business pros such as Michael Radwin (Intuit), Bahman Bahmani (Rakuten), Mayukh Bhaowal (Salesforce Einstein), Yael Gozin (Pfizer), and James Manyika (McKinsey & Company). Deep dive tutorials, including Jason Dai (Intel) on building deep learning apps for big data with the Analytics Zoo AI platform; Chaoran Yu (Lightbend) on doing machine learning (ML) with Kafka-based streaming pipelines; and Justina Petraityte (Rasa) on developing intelligent AI assistants based entirely on ML with open source Rasa NLU and Rasa Core. Sessions devoted to AI Implementation, such as Anuradha Gali (Uber) on using AI to leverage 15 million trips a day on the Uber platform; Roshan Sumbaly (Facebook) on connecting the dots between the software engineering and ML development worlds; Paige Bailey’s (Google) on TensorFlow 2.0's new features; and Alex Ratner (Snorkel) on building and managing training datasets for ML with open source Snorkel. Sessions focused on AI Models & Methods, including Lukas Biewald (Weights & Biases) review of how to use Keras to classify text with LSTMs and other ML techniques; and Francesca Lazzeri (Microsoft) on using AutoML to automate ML model selection and hyperparameter tuning. Dozens of how-to-do-it sessions detailing the tec...
    Note: Online resource; Title from title screen (viewed September 11, 2019)
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    O'Reilly Velocity Conference 2019 - Berlin, Germany (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: We’ll make the Keynotes available here as soon as possible after they happen. Video of the sessions and tutorials will be available a few weeks after the end of the conference. O'Reilly Velocity Conferences are devoted to providing its international audience of SREs, app developers, DevOps practitioners, systems architects, CTOs, and CIOs with the most on-point training and information possible on how to build and maintain large-scale cloud native systems. Velocity Berlin 2019 stayed true to this formula. It gathered some of the world's top cloud practitioners to share their expertise and insights on key concepts like Kubernetes, site reliability engineering, observability, and performance. Stay ahead of your competition, get this video compilation, and enjoy a front-row seat to all of the best that Velocity Berlin 2019 had to offer. Highlights include: Unrestricted access to hours of the best presentations from Velocity Berlin 2019—this video compilation includes keynote sessions, deep-dive tutorials, and technical sessions. Kubernetes sessions, including Jonathan Johnson's (Dijure LLC) intro to Kubernetes tutorial; Jose Nino’s (Lyft) look at deploying hybrid topologies with Kubernetes and Envoy; and Bastian Hofmann’s (SysEleven) talk on using Kubernetes to deploy an application across multiple clusters in different regions. Monitoring, Observability, and Performance sessions, such as Liz Fong-Jones (Honeycomb) on how microservice-based systems do distributed tracing using OpenTelemetry; Lorenzo Fontana (Sysdig) on eBPF-powered distributed Kubernetes performance analysis; and Nathanael Jean-Francois (NS1) on using BGP edge optimizations to measure internet performance and make routing decisions. Overcoming Obstacles/Lessons in Resilience sessions, including Alois Reitbauer’s (Dynatrace Software) cautions on how to ensure that delivery pipeline automation code won’t devolve into legacy code and Josh Michielsen’s (Condé Nast International) insider’s take on the lessons learned from operating a Kubernetes driven global cloud native platform. Building Secure Systems sessions like Jennifer Davis’ (Microsoft) survey of the cloud security tools and practices everyone should. Building Resilient Systems sessions, such as Jenn Strater’s (Gradle) guide to using data to better debug build errors, speed up individual runs, and make a happy release process, or Heidi Waterhouse’s (LaunchDarkly) reveal of the often overlooked factors that dramatically affect...
    Note: Online resource; Title from title screen (viewed November 6, 2019)
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    On microservices, bounded contexts, and everything in between (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 43 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: “Ninety-five percent of the words are spent extolling the benefits of ‘modularity’ and that little, if anything, is said about how to achieve it”—Glenford J. Myers, 1978. The above quote is 40 years old. Today, four decades later, nothing has changed except terminology. Time to fix this. Vladik Khononov (Invesus Group) explains how to decompose a system into loosely coupled components: how to draw boundaries between services, how to decide whether some logic belongs to one service or another, and how domain-driven design can help us make those decisions. Finally, he takes a stab at answering the age-old question of what part of a microservice should be “micro” and how it can be measured. You’ll hear about neither Docker nor Kubernetes. Actually, nothing related to infrastructure. Instead, you’ll dive into the difference between microservices and bounded contexts, discover when each pattern should be used, and get takeaways from Vladik’s experience optimizing microservices-quotebased architectures at Naxex. This session was recorded at the 2019 O'Reilly Software Architecture Conference in San Jose.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    O'Reilly Artificial Intelligence Conference 2019 - London, United Kingdom (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: We’ll make the Keynotes available here as soon as possible after they happen. Video of the sessions and tutorials will be available a few weeks after the end of the conference. The Artificial Intelligence Conference London 2019 gathered some of the globe's top AI practitioners to speak about AI's most promising developments, emerging technologies, and profitable use cases. This video compilation provides you with the best that AI London 2019 had to offer. It includes thought provoking presentations from such AI luminaries as Ariadna Font Llitjós, the director of engineering at Twitter’s Cortex Machine Learning Platform; Martin Goodson, the chief scientist at Evolution AI; Jeff Jonas, the founder and CEO of Senzing; Kim Hazelwood, the senior engineering manager who leads AI infrastructure research efforts at Facebook, and many more of AI’s top data scientists, software engineers, and business strategists. AI is changing fast and it’s transforming business even faster. To see where AI is going (and the entirely new business models and procedures it enables), get this compilation and you’ll be ahead of the curve. Highlights include: Complete video recordings of AI London 2019’s best keynotes, tutorials, and technical sessions—this compilation contains hours of material to study, review, and absorb at your own pace. Keynote presentations from AI’s most notable thinkers, including Intels’ Alexis Crowell Helzer, IBM’s Ritika Gunnar, Dell Technologies’ Arash Ghazanfari, and more. Hours of fact-packed AI, ML, and DL tutorials from top AI practitioners like Robert Crowe (Google) on ML pipelines, TensorFlow Extended pipelines, and ML production deployment issues; Danielle Dean (iRobot) on training and deploying Python models in Azure; and Sergey Ermolin (AWS) on how to use reinforcement learning to build recommendation systems with AWS SageMaker RL. Members-only access to every AI Business Summit Executive Briefing/Best Practices session: Twenty hard-nosed presentations that provide an insider’s look at the AI implementations that will impact your business the most. Implementing AI sessions, including Carlos Rodrigues's (Siemens) look at how Siemens fights cybercrime with AI; Alex Ingerman's (Google) introduction to Federated ML, a new decentralized form of ML; Siddha Ganju's (NVIDIA) discussion of how to set-up deep learning on mobile devices; and Thomas Phelan (HPE BlueData) on how to spin up GPU-enabled AI, ML, and DL clusters in Docker containers...
    Note: Online resource; Title from title screen (viewed October 16, 2019)
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    NLP from scratch : Solving the cold start problem for natural language processing (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 43 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Unstructured data in the form of documents, web pages, and social media interactions is an ever-growing, ever-more valuable data source for addressing present business problems, from exploring brand sentiment to identifying sensitive information in internal documents. Unfortunately, the classification and annotation algorithms behind solving these problems often require significant amounts of labeled training data to produce desired accuracy. Michael Johnson and Norris Heintzelman (Lockheed Martin) share several techniques they’ve implemented to build classification and NER models from scratch. They lead a tour through this space as it applies to NLP and demonstrate their approach and architecture for the following techniques: Weak supervision for news documents: Using rules base classification alongside deep learning system for text classification Active learning and human in the loop: Explaining how breakthroughs in transfer learning for NLP have impacted their active learning framework for building an LSTM-based relevance model Creative training sets: Identifying and cleaning already-labeled datasets, training classifier on “only” positive examples NER adjudication: Combining knowledge from several annotation sources that leverages the strengths of each source For each of these topics, Michael and Norris outline the theoretical foundation, the implementation architecture, and tools used and discuss the problems they encountered—so you can avoid making the same mistakes.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Microservices architecture in the real world (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 50 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Over the past two years, Credit Karma has gone from zero to nearly 100 microservices, supporting over 300 engineers while serving our more than 80 million members. Drawing on his experience at Credit Karma, Mason Jones shares approaches based on his real-world experiences making the shift to microservices, covering routing (How does service A find and call service B?), management (How do you handle hundreds of containers?), observability (How do you know what’s going on out there?), and experience (How do your developers deal with these services?), as well as the cultural and organizational impact that you can’t avoid. Join in to explore solutions, pitfalls, and practical examples that have worked in the real world at scale. This session was recorded at the 2019 O'Reilly Software Architecture Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Learning the MariaDB Ecosystem : Enterprise-level Features for Scalability and Availability (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
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    ISBN: 9781484255148
    Language: English
    Pages: 1 online resource (1 video file, approximately 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn about the family of products that make up the MariaDB ecosystem so that you can make the correct choices in applying MariaDB to your own business problems. This video introduces the full suite of scalability and availability features that combine to make MariaDB a compelling option to large enterprises such as major financial institutions and some of the world’s largest ecommerce operations. Watch this video to learn about MaxScale, MariaBackup, ColumnStore, ClustrixDB, the MariaDB Platform Managed Service, and associated connectors and data adapters. Learn what each of these products can do for you, and the real-world problems they solve. This video begins by introducing the database server that forms the core of MariaDB’s offering. From there you’ll learn about MariaBackup to support backup and recovery, then about MaxScale and Galera Cluster in support of high throughput and scalability. You’ll learn about ColumnStore and how it supports analytics processing and column-oriented workloads for business intelligence applications, and about MariaDB’s managed service offering in the cloud. Finally, there is the extreme scalability of ClustrixDB and how it enables gaming, social media, IoT, and other extreme workloads. What You Will Learn Get the big picture of the MariaDB family of products Choose the right products with confidence for your application Apply scalability options appropriate to your specific needs Automate backup and recovery through MariaBackup Support business intelligence through columnar storage Unlock extreme scaling using ClustrixDB Who This Video Is For Database users or administrators who are comfortable with MariaDB or MySQL in particular, or with relational databases in general, who want to learn the full range of products available from MariaDB to unlock enterprise-grade performance and scalability.
    Note: Online resource; Title from title screen (viewed October 28, 2019)
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    Kubernetes APIs under the hood (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Kubernetes provides a powerful set of APIs and abstractions for building distributed systems. Additionally, it provides users with the ability to build and install their own extension APIs alongside the core APIs. Phillip Wittrock (Google) covers how core Kubernetes APIs are designed and built and teaches the basics of writing an installable custom Kubernetes API. Phillip provides an introduction to fundamental API concepts, including resources, controllers, and reconciliation loops; then, he provides an end-to-end walkthrough, answering what happens after running “kubectl apply.” He discusses Kubernetes resource versioning, finalizers, defaulting, and validation and asynchronous and level-based controller architecture. This session was recorded at the 2019 O'Reilly Velocity Conference in San Jose.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Introducing Azure Digital Twins : IoT Device Integration in Digital and Physical Spaces (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
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    ISBN: 9781484253755
    Language: English
    Pages: 1 online resource (1 video file, approximately 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Create reusable, scalable, and spatially concise models of smart buildings that connect data across the physical and digital world using this video. For example, using Azure Digital Twins, you can define the location of offices at your place of business. Inside each office there are IoT devices with specific sensors (for example for temperature or lights). You can assign users to each room, so you have a clear view of the distribution of people in the office. This video begins with a gentle introduction to the Azure Digital Twins service, offering an overview and discussion of the key concepts related to it. From there you will progress through data processing and user-defined functions and learn about real IoT device integration with Azure Digital Twins. You will learn about Azure Digital Twins object models and spatial intelligence graph. In this new era of smart buildings, this video enables you to visualize comprehensive virtual representations of physical environments and all the associated devices, sensors, and people within it. You will be able to create definitions of spaces and combine them together with information about connected devices and sensors so that you can manage and implement resources with precision. What You Will Learn Create new Azure Digital Twins service instances Understand Azure Digital Twins object models and spatial intelligence graphs Work with data processing and user-defined functions Quickly connect IoT devices to Azure Digital Twins and create space definitions Discover routing events and messages Look at the limitations and additional resources for implementing solutions Who This Video Is For This video is for specialists, developers, and architects who are tasked with creating smart building solutions.
    Note: Online resource; Title from title screen (viewed August 19, 2019)
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    How to build privacy and security into deep learning models (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 38 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: In recent years, we’ve seen tremendous improvements in artificial intelligence, due to the advances of neural-based models. However, the more popular these algorithms and techniques get, the more serious the consequences of data and user privacy. These issues will drastically impact the future of AI research—specifically how neural-based models are developed, deployed, and evaluated. Yishay Carmiel (IntelligentWire) shares techniques and explains how data privacy will impact machine learning development and how future training and inference will be affected. Yishay first dives into why training on private data should be addressed, federated learning, and differential privacy. He then discusses why inference on private data should be addressed, homomorphic encryption and neural networks, a polynomial approximation of neural networks, protecting data in neural networks, data reconstruction from neural networks, and methods and techniques to secure data reconstruction from neural networks. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Game engines and machine learning (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 42 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Games are wonderful contained problem spaces, making them great places to explore AI—even if you’re not a game developer. Paris Buttfield-Addison (Secret Lab Pty. Ltd.), Mars Geldard (University of Tasmania), and Tim Nugent (lonely.coffee) teach you how to use Unity to train, explore, and manipulate intelligent agents that learn. You’ll train a quadruped to walk, then train it to explore, fetch, and manipulate the world. It’s a little bit technical, a little bit creative. Join Paris, Mars, and Tim to learn how to use game technologies such as Unity to further your understanding of machine learning fundamentals and solve problems. Topics include: How video game engines are a perfect environment to constrain a problem and train an agent How easy it is to get started, using Unity How to build up a model and use it in the engine to explore a particular idea or problem This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Deep learning for recommender systems, or how to compare pears with apples (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 42 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Recommender systems support the decision making processes of customers with personalized suggestions. These widely used systems influence the daily life of almost everyone across domains like ecommerce, social media, and entertainment. However, the efficient generation of relevant recommendations in large-scale systems is a very complex task. In order to provide personalization, engines and algorithms need to capture users’ varying tastes and find mostly nonlinear dependencies between them and a multitude of items. Enormous data sparsity and ambitious real-time requirements further complicate this challenge. At the same time, deep learning has been proven to solve complex tasks like object or speech recognition where traditional machine learning failed or showed mediocre performance. Join Marcel Kurovski (inovex) to explore a use case for vehicle recommendations at mobile.de, Germany’s biggest online vehicle market. Marcel shares a novel regularization technique for the optimization criterion and evaluates it against various baselines. To achieve high scalability, he combines this method with strategies for efficient candidate generation based on user and item embeddings—providing a holistic solution for candidate generation and ranking. The proposed approach outperforms collaborative filtering and hybrid collaborative-content-based filtering by 73% and 143% for MAP5. It also scales well for millions of items and users returning recommendations in tens of milliseconds. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Database migrations don't have to be painful, but the road will be bumpy (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 31 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Change is the only constant; upgrades are inevitable. Believe it or not, this also applies to your database. There are many drivers for such changes, such as technology stack updates and new data center or event cloud migrations. A database migration isn’t an easy task. Preparation and execution takes time and leaves no room for mistakes. And once you start, there’s no going back. But is this the only way? Adrian Lungu and Serban Teodorescu (Adobe) explain how—inspired by the green-blue deployment technique—the Adobe Audience Manager team developed an active-passive database migration procedure that allows them to test database clusters in production, minimizing the risks without compromising the innovation. It was successfully applied twice to upgrade the entire database technology stack—but it’s never a smooth move when your databases are 200-node Cassandra clusters with hundreds of terabytes of data and downtime is not an option. The first migration was focused only on software upgrades. For the second upgrade, the team’s confidence was so high that they added a twist: a couple of more changes besides the Cassandra version—AWS instance type, operating system, disk settings, memory settings, JVM, and a few more. What could go wrong? Well. . .everything. Adrian and Serban describe the migration technique and present an extensible database client that makes all the active-passive management possible with just a configuration change. Yes, you heard it right. No code changes, just configurations. They then share a series of tales and lessons learned during the migration of over 500 Cassandra nodes. Most of the lessons aren’t Cassandra related but instead apply to hardware, drivers, operating system, or the JVM—debugging for days and searching for that metric anomaly or that log line that would give us a hint on what went wrong. Join in to see how you can avoid some of these pitfalls in your own projects. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Choreographing microservices (San Jose, CA) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Choreographed microservices talk to each other asynchronously, blindly broadcasting notifications into a service cloud. Those notifications are handled by whatever client services are interested. These systems eliminate many of the problems associated with orchestrated systems (which work more like synchronous function calls) and are typically much faster than orchestrated systems, but they have their own idiosyncrasies and implementation challenges. Allen Holub explores the inherent problems in orchestrated systems and then looks at how choreography can solve those problems. Allen explores three approaches to choreography: HTTP based, pub/sub messaging based, and brokerless swarming systems. He introduces appropriate messaging architectures and frameworks and looks at several practical examples. Finally, Allen looks at event storming: one of the best approaches to designing choreographed systems. You’ll leave with an understanding of both why you should be using choreography for most high-level APIs and how to design and build these systems. This session was recorded at the 2019 O'Reilly Software Architecture Conference in San Jose.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Building enterprise data products (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 44 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Much of the hardest work of creating effective data products in the enterprise is not in the complexity of the algorithms applied but in effective design and integration into downstream systems. Hilary Mason (Cloudera) shares a process for repeatedly creating effective AI products, from idea through process to specific design considerations, and explains how architecture and algorithmic choices can support or hinder this process. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Autodesk Revit in 4 Hours (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838551728
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Efficiently create models that capture design intent with Autodesk Revit About This Video An overview of the major tools needed to build a successful model. A brief discussion of advanced methods used for many of the tools covered. An introduction to creating custom elements to make your design and model unique. In Detail Autodesk Revit boasts powerful tools that allow you to efficiently plan and manage your projects and visualize your designs. You will begin by moving around in Revit before discussing the tools you'll need to begin setting up a project. Then you'll cover the basic tools and methods for building a 3D model using all of the most common tools. Then you will create custom elements that allow you to add a level of detail and design to make your projects unique. You will then learn 2D modeling; we will be looking at many of the tools that help round-out a good drawing set; from dimensions, to two-dimensional linework and fill regions - everything from the stock materials built into Revit, to creating custom textures to get the look you're after. After learning 2D models you will create 3D views, all of the settings that are associated with the internal rendering engine Finally, we will discuss tools and processes by which you can produce a full construction document or presentation drawing set; this will include title blocks, sheets, and custom schedules, as well as how to save a set of drawings as a PDF or print them as hard copies.
    Note: Online resource; Title from title screen (viewed April 23, 2019)
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    Artificial intelligence on human behavior : New insights into customer segmentation (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 35 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Brands, marketers, and product designers need to understand their customers. Traditionally, market research was driven by surveys and focus groups of limited scale. Today, digital signals like web browsing behavior can provide a stream of observed behavioral data that is rich with information about a user’s interests, needs, and preferences. This type of data, coupled with machine learning techniques, holds the promise of freeing market research from the constraints of self-reported customer data. In its raw state, web browsing data is both too detailed and too sparse to be comprehensible, let alone actionable. Melinda Han Williams (Dstillery) explores semantic embeddings as a novel approach for understanding observed digital consumer behavior and details how to use a semantic embedding of web browsing behavior to drive unsupervised clustering for customer segmentation. You’ll learn how Dstillery has trained a neural network on 15 billion behavioral interactions. The resulting model can be seen as a much lower dimensional embedding of the internet and, if projected into two or three dimensions, as an interactive map. This taxonomy of internet behavior can be used as the foundation for a number of applications, providing unparalleled insights into consumer behavior and needs. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Applied machine learning in finance - 2019 Artificial Intelligence Conference, New York (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 45 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Quantitative finance is a rich field in finance where advanced mathematical and statistical techniques are employed by both sell-side and buy-side institutions. Techniques like time series analysis, stochastic calculus, multivariate statistics, and numerical optimization are often used by "quants” for modeling asset prices, portfolio construction and optimization, and building automated trading strategies. Chakri Cherukuri (Bloomberg LP) demonstrates how to apply machine learning techniques in quantitative finance, covering use cases involving both structured and alternative datasets. The focus of the talk will be on promoting reproducible research (through Jupyter notebooks and interactive plots) and interpretable models. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Advanced Scenarios in Azure Functions (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484244081
    Language: English
    Pages: 1 online resource (1 video file, approximately 45 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: In this video on Azure Functions, you will learn about the most relevant advanced features of Azure Functions. The video is broken down into concise yet complete segments so that you can discover how to write, debug, and diagnose Azure Functions on a need-to-know basis. As various cloud offerings move towards serverless computing, Azure Functions has emerged as Microsoft Azure’s serverless computing platform. This video goes a step beyond coding in the browser and introduces you to a typical view of Azure Functions, including writing in VS Code, debugging, and diagnosing issues. What You Will Learn Orchestrate Azure Functions Diagnose using Kudu Debug Azure Functions Write Azure Functions in VS Code Who This Video Is For NodeJS or C# developers who are interested in learning about Azure Functions. It is a 200 level video; Viewers should have a basic level of familiarity with Azure Functions.
    Note: Online resource; Title from title screen (viewed January 7, 2019)
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    7 years of DDD : Tackling complexity in large-scale marketing systems (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 49 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: It turns out that domain-driven design is not just for cargo shipping. Vladik Khononov (Naxex) explains how he and his team embraced domain-driven design (DDD) (with very limited resources and a very short time to market) at Plexop, a large-scale marketing system that spans over a dozen different business domains. Join in to learn how DDD allowed the team to manage business complexities, find out strategies for defining context boundaries, explore lessons learned the hard way, and discover where they had to adapt the DDD methodology to fit the company’s needs. This session was recorded at the 2019 O'Reilly Software Architecture Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Contagious You : Unlock Your Power to Influence, Lead, and Create the Impact You Want (Audio Book) (2019)
    [Erscheinungsort nicht ermittelbar] : McGraw-Hill | Boston, MA : Safari
    Details
    ISBN: 9781260454093
    Language: English
    Pages: 1 online resource (1 video file, approximately 13 hr., 7 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks
    Abstract: Drawn from Cavanaugh's proprietary approach to leadership, Intentional Energetic Presence® (IEP Method®), Contagious You shows readers how to "own" their leadership and effectively guide, inspire, and serve those around them. Insightful stories and real-life examples address the areas of team, dealing with failure, leading and changing culture, designing relationships, navigating conflict, transforming burnout, cultivating mindset, and more.
    Note: Online resource; Title from title screen (viewed November 6, 2019) , Mode of access: World Wide Web.
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    The Complete Cybersecurity Bootcamp (Video Collection) : Threat Defense, Ethical Hacking, and Incident Handling (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 26 hr., 15 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: More than 25 Hours of Expert Video Instruction This course is a complete guide to help you get up and running with your cybersecurity career. You will learn the key tenets and fundamentals of networking and security basics; cybersecurity management, monitoring and analysis; network security telemetry; digital forensics and incident response (DFIR); fundamentals of ethical hacking and penetration testing; advanced wireless hacking and pen testing; mobile device security, and IoT Security. This Complete Video Course provides a complete learning path for building your skills as a cyber security professional. You will start with the fundamental concepts, so you can increase your core knowledge before quickly moving on to actually working through pen testing and ethical hacking projects—so you can start to build your skills. Omar Santos, best-selling Cisco Press and Pearson security author and trainer, has compiled the lessons in this title from other training courses. You will find that the lessons build on each in an easy-to-follow organization, so you can move through the topics at your own pace. This course provides supplemental material to reinforce some of the critical concepts and techniques that the reader has learned and provides scripts that help you build your own hacking environment, examples of real-life penetration testing reports, and more. This material can be found at theartofhacking.org. Topics include: Module 1: Networking and Security Basics Module 2: Cybersecurity Management, Monitoring, and Analysis Module 3: Network Security Telemetry Module 4: Digital Forensics and Incident Response (DFIR) Module 5: Fundamentals of Ethical Hacking and Penetration Testing Module 6: Advanced Wireless Hacking and Penetration Testing Module 7: Mobile Device Security Module 8: Internet of Things (IoT) Security About the Instructor Omar Santos is an active member of the cyber security community, where he leads several industry-wide initiatives and standards bodies. His active role helps businesses, academic institutions, state and local law enforcement agencies, and other participants dedicated to increasing the security of their critical infrastructures. Omar is the author of more than a dozen books and video courses, as well as numerous white papers, articles, and security configuration guidelines and best practices. Omar is a principal engineer of the Cisco Product Security Incident Response Team (PSIRT), where he mentors and leads engineers ...
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    Spotlight on Innovation : Building Resilient Systems with Heidi Waterhouse (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 57 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: LaunchDarkly’s Heidi Waterhouse shares some of the biggest challenges in feature management. In a perfect world, we’d develop tidy, discrete features that are easy to manage. But in reality, we’re often struggling with a complicated snarl of features that are difficult to test and deploy. Heidi explains how you can use feature management design to build modular, testable, resilient systems. Recorded on April 23, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Innovation , you’ll discover what successful companies have in common and how you can follow their lead with small practical steps to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed September 17, 2019)
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    Spotlight on Cloud : The Future of Internet Security with Bruce Schneier (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Long gone are the days when computer security was about data. Now, it’s about the much more critical and personal issues of life and property. The impact of this change means two things: Data authentication and integrity concerns will trump those of confidentiality The idea of an internet without regulations will be a thing of the past While these consequences are inevitable, we can prepare for them. First, by looking at previous attempts to secure these systems. Then, by considering the appropriate technologies, laws, regulations, economic incentives, and social norms we should focus on going forward. Recorded on April 4, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Cloud , you’ll learn about the complex, ever-evolving world of the cloud. You’ll discover how successful companies have adopted and embraced this massive network of shared information and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed September 17, 2019)
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    Machine Learning with scikit-learn LiveLessons (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 hr., 18 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 6+ Hours of Video Instruction Learn the main concepts and techniques used in modern machine learning through numerous examples written in scikit-learn Overview Machine Learning with scikit-learn LiveLessons is your guide to the scikit-learn library, which provides a wide range of algorithms in machine learning that are unified under a common and intuitive Python API. Most of the dozens of classes provided for various kinds of models share the large majority of the same calling interface. Quite often you can easily substitute one algorithm for another with very little or no change in your underlying code. This enables you to explore the problem space quickly and often to arrive at an optimal–or at least satisficing–approach to your problem domain or datasets. The scikit-learn library is built on the foundations of the numeric Python stack. It uses NumPy for its fundamental data structures and optimized performance, and it plays well with pandas and matplotlib. It is free software under a BSD license. The great bulk of machine learning programming in Python is done with scikit-learn—at least outside the specialized domain of deep neural networks. About the Instructor David Mertz has been involved with the Python community for 20 years, with data science, (under various previous names) and with machine learning since way back when it was more likely to be called “artificial intelligence.” He was a director of the Python Software Foundation for six years and continues to serve on, or chair, a variety of PSF working groups. He has also written quite a bit about Python: the column Charming Python for IBM developerWorks, for many years; Text Processing in Python (Addison-Wesley, 2003); and two short books for O’Reilly. He created the data science training program for Anaconda, Inc., and was a senior trainer for them. Skill Level Intermediate Learn How To Use various machine learning techniques Explore a dataset Perform various types of classification Use regression, clustering, and hyperparameters Use feature engineering and feature selection Implement data pipelines Develop robust train/test splits Who Should Take This Course Programmers and statisticians interested in using Python and the scikit-learn library to implement machine learning Course Requirements Programming experience Table of Contents Introduction Lesson 1: What Is Machine Learning? Lesson 2: Exploring a Dataset Lesson 3: Classification Lesson 4: Regression Less...
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    Machine Learning Fundamentals with Amazon SageMaker on AWS (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 46 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.
    Note: Online resource; Title from title screen (viewed September 23, 2019)
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    Introduction to 3D Design with Adobe Photoshop and Illustrator : Creating 3D Effects for Print and Web Design Projects (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484253960
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 41 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: In this comprehensive video, you will learn how to create, design, and edit 3D shapes with Adobe Photoshop and Illustrator. Even with extensive beginner Photoshop information, the topic of 3D is often overlooked. With the growing trend of needing 3D designs, this bit of knowledge can help you start using basic 3D features in your artwork, and digital or print portfolios. This video begins by focusing on the basics of working with 3D layers and shapes in Photoshop including how to set up your workspace and how to create a basic 3D shape or mesh. Then you’ll dive into working with faux 3D filters in Photoshop before concluding with how to create basic 3D shapes in Illustrator and importing them back into Photoshop as a smart object. Finally, this video will also cover where to go from here in your learning such as 3D printing, video, or creating more advanced 3D scenes using a product such as Adobe Dimension or Adobe Fuse for Characters. Through this video, you’ll be able to enhance your artwork or print designs to include 3D features. What You Will Learn Use the various Photoshop panels to create basic 3D shapes such as the sphere, cone, pyramid, or cube Add materials and textures to a primitive shape and decide whether to make it a smart object, and render or rasterize the shape when you add it to the main PSD document Make minor edits to shading and lighting and rotate the object on the layer to a better position in 3D mode Add some 3D extrusion text with layer effects Create complex shapes and apply filters to enhance the graphic Draw basic 3D shapes in Illustrator and import them into Photoshop as a smart object Who This Video is For Students, graphic designers, and corporate administrators with some basic experience with Photoshop and Illustrator looking to get started with 3D design.
    Note: Online resource; Title from title screen (viewed August 23, 2019)
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    Exam MD-100 Windows 10 (Video) (2019)
    [Erscheinungsort nicht ermittelbar] : Microsoft Press | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 hr., 12 min.)
    Edition: 1st edition
    Keywords: Microsoft Windows (Computer file) Study guides Examination ; Electronic data processing personnel Certification ; Electronic videos ; local ; Microsoft Windows (Computer file) ; Electronic data processing personnel ; Certification ; examination study guides ; Study guides ; Study guides ; Guides de l'étudiant
    Abstract: More than 8 hours of video instruction to help you support your organization’s Windows 10 deployment and prepare for Exam MD-100 Windows 10, one of the exams required to achieve Microsoft 365 Certified: Modern Desktop Administrator Associate. Overview This engaging, self-paced instructional video course demonstrates various aspects of deploying, maintaining, and securing Windows 10 devices and data. You learn methods and technologies that help you install and configure Windows 10, develop device management policies, protect data, improve security, configure networking, and more. If you’re planning to take Exam MD-100 Windows 10, this video course covers the exam objective domains published by Microsoft in a logical way for learning the technology and preparing for the exam. Throughout each lesson, Microsoft certified trainer and technical author Andrew Warren describes key concepts and puts them into action with demonstrations and real-world scenarios. You can follow along by building a test lab using virtual machines. About the Instructor Andrew Warren has more than 30 years of experience in the IT industry, many of which he has spent teaching and writing. He is a Microsoft Certified Trainer and has been involved as a subject matter expert in many of the Windows Server 2016 courses and as the technical lead in many Windows 10 courses. He also has been involved in developing TechNet sessions about Microsoft Exchange Server. He is the co-author of Exam Ref MD-100 Windows 10 and Exam Ref MD-101 Managing Modern Desktops and the author of Exam Ref 70-741 Networking with Windows Server 2016 and Exam Ref 70-742 Identity with Windows Server 2016 , published by Microsoft Press. Andrew is based in the United Kingdom and lives in rural Somerset, where he runs his own IT training and education consultancy. Skill Level Intermediate Learn How To Deploy Windows Manage devices and data Configure connectivity Maintain Windows Who Should Take This Course IT professionals who deploy, configure, secure, manage, and monitor devices and client applications in an enterprise environment IT professionals who manage identity, access, policies, updates, and apps IT professionals who want to explore new and updated features in Windows 10 Windows 10 administrators preparing for Exam MD-100 Windows 10 Course Requirements Foundational IT skills Basic understanding of and experience with Windows networking
    Note: Online resource; Title from title screen (viewed September 12, 2019)
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    Getting Started with Blockchain and Cryptocurrency (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 35 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 3+ Hours of Video Instruction Overview In this course, participants learn what blockchain and cryptocurrency are, how they work, and how these technologies are being applied. The course explains what smart contracts are and how they work, the rise of new funding mechanisms such as Initial Coin Offerings (ICOs) and Security Token Offerings (STOs), and how the use of digital tokens and “tokenization” are changing many long-established business rules. Through the use of demonstrations and detailed slide explanations, we explore the state of the blockchain business market, including investments and projections for market growth. There is an opportunity to analyze multiple use cases of the blockchain technology being applied. The course also provides a section on how you can determine whether using blockchain and cryptocurrency are right for your business. This course quickly brings you up to speed on blockchain and cryptocurrency and how these technologies are being used to drive a new wave of innovation across a wide range of businesses. You will gain valuable professional knowledge on what blockchain and cryptocurrency are, how they are being used across numerous industries, why they are so innovative and disruptive, and how you can determine whether blockchain is right for your business. Topics include Module 1: Blockchain and Bitcoin Basic Concepts Module 2: Cryptocurrency and Smart Contracts Module 3: Business Opportunities in Blockchain Module 4: Blockchain and Your Business About the Instructor George Levy is a lecturer and senior instructor on blockchain, Bitcoin, and cryptocurrency at Blockchain Institute of Technology (BIT), a leading professional training and certification organization focused on blockchain technology and cryptocurrency. He is also co-founder and chief marketing officer for Bitsonline, a prominent media portal for all things cryptocurrency, blockchain, and the technology that frames it all. He is a former regional manager for Microsoft Corporation and a vice president for the World Business Forum (WOBI). An award-winning digital entrepreneur with more than 20 years of professional experience working with the Internet and digital technology, he is on a mission to help further the global growth of blockchain technology to drive positive change. George is a Certified Senior Blockchain Professional (CSBCP) from Blockchain Institute of Technology (BIT) and a Certified Bitcoin Professional (CBP) from CryptoCurrency Certificat...
    Note: Online resource; Title from title screen (viewed July 17, 2019)
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    Deep Learning with R in Motion (2019)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 52 min.)
    Edition: 1st edition
    Keywords: Internet videos ; Streaming video ; Electronic videos ; local ; Vidéos sur Internet ; Vidéo en continu ; streaming video ; Internet videos ; Streaming video ; Electronic videos
    Abstract: Wow! A brand new set of techniques to study and apply. The videos are great, amazingly organized, and go step by step to introduce such a complex topic. Arnaldo Ayala, Software Architect, Consultores Informáticos The Keras package for R brings the power of deep learning to R users. Deep Learning with R in Motion locks in the essentials of deep learning and teaches you the techniques you'll need to start building and using your own neural networks for text and image processing. Instructor Rick Scavetta takes you through a hands-on ride through the powerful Keras package, a TensorFlow API. You'll start by digging into case studies for how and where to use deep learning. Then, you'll master the essential components of a deep learning neural network as you work hands-on through your first examples. You'll continue by exploring dense and recurrent neural networks, convolutional and generative networks, and how they all work together. And that's just the beginning! You'll go steadily deeper, making your network more robust and efficient. As your work through each module, you'll train your network and pick up the best practices used by experts like expert instructor Rick Scavetta, Keras library creator and author of Deep Learning in Python François Chollet , and JJ Allaire , founder of RStudio, creator of the R bindings for Keras, and coauthor of Deep Learning in R ! You'll beef up your skills as you practice with R-based applications in computer vision, natural-language processing, and generative models, ready for the real-world. Machine learning has made remarkable progress in recent years. Deep learning systems have revolutionized image recognition, natural-language processing, and other applications for identifying complex patterns in data. The Keras library provides data scientists and developers working in R a state-of-the-art toolset for tackling deep learning tasks! Inside: The 4 steps of Deep Learning Using R with Keras and TensorFlow Working with the Universal Workflow Computer vision with R Recurrent neural networks Everyday best practices Generative deep learning You'll need intermediate R programming skills. No previous experience with machine learning or deep learning is assumed. Rick Scavetta is a biologist, workshop trainer, freelance data scientist, cofounder of Science Craft, and founder of Scavetta Academy, companies dedicated to helping scientists better understand and visualize their data. Rick's practical, hands-on exposur...
    Note: Online resource; Title from title screen (viewed August 28, 2019)
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    Creating and Animating a 3D Object with Adobe Photoshop and Cinema 4D Lite : Preparing a Photograph with Keyframing, Materials, and Lighting (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484245095
    Language: English
    Pages: 1 online resource (1 video file, approximately 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Prepare a photograph in Photoshop for use as a texture and surface for a 3D object in Cinema 4D Lite, and then animate that 3D object. This video shows you how 3D animation can stand alone and how you could incorporate it into After Effects to add effects and other elements to your animation project. You’ll go through an example that covers a wide variety of skills you can apply to your future project and see the process from start to finish in Adobe Photoshop and After Effects/Cinema 4D Lite. You’ll make selections, add layers, mask, create materials and objects, modify them, and animate the result. This video includes a detailed step-by-step explanation of every aspect involved in the making of the final video. What You Will Learn Use editing and layer masking in Photoshop Create a new project and import a Photoshop file in Cinema 4D Lite Master keyframing and basic animation principles, such as motion path and easing Apply materials and lights to a 3D object in Cinema 4D Lite Animate a 3D object in Cinema 4D Lite and prepare it for use in After Effects
    Note: Online resource; Title from title screen (viewed March 14, 2019)
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    Building AI Applications on Google Cloud Platform (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 4+ Hours of Video Instruction Overview There is a rapid evolution occurring in machine learning with tools like AutoML that basically automate many of the tedious aspects of machine learning and allow developers to focus on getting results into production. Noah Gift illustrates just now to harness this technology and deploy it successfully on Google Cloud Platform, demonstrating for developers how to employ the current best practices and automated tools to create analytics applications that solve real-world problems. Developers who want to take their Data Science skills to the next level and build AutoML applications in the Cloud will benefit from this unique course, as they learn how to use AutoML, Big Query, Python, and Google App Engine to create sophisticated AI. Description Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs. It relies on Google’s state-of-the-art transfer learning and neural architecture search technology. Developers use Cloud AutoML’s graphical user interface to train, evaluate, improve, and deploy models based on their data. This LiveLesson covers programming components essential to the development of AI and Analytics applications. The focus is on building real-world software engineering applications on the Google Cloud Platform. Several emerging technologies are used to demonstrate the process, including AutoML and Google BigQuery. The Python language is used throughout the course, as Python is becoming the de facto standard language for AI application development in the cloud. Download the supplemental files for this LiveLesson from http://www.informit.com/store/building-ai-applications-on-google-cloud-platform-livelessons-9780135973509 . About the Instructor Noah Gift is a lecturer at the UC Davis Graduate School of Management, MSBA program, the Graduate Data Science program, MSDS, at Northwestern and the Graduate Information and Data Science Program at UC Berkeley. He is teaching and designing graduate machine learning, AI, Data Science, and Cloud Architecture courses. These responsibilities include leading a multi-cloud certification initiative for students. Noah is a Python Software Foundation Fellow, AWS Subject Matter Expert (SME) on Machine Learning, AWS Certified Solutions Architect, AWS Certified Big Data-Specialist, AWS Certified Machine Learning-Specialist, AWS Academy Accredited I...
    Note: Online resource; Title from title screen (viewed August 8, 2019)
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    CompTIA A+ Core 1 (220-1001) (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    ISBN: 9780135305331 , 0135305330
    Language: English
    Pages: 1 online resource (1 video file, approximately 34 hr., 4 min.)
    Edition: 1st edition
    Keywords: Internet videos ; Streaming video ; Electronic videos ; local ; Vidéos sur Internet ; Vidéo en continu ; streaming video ; Internet videos ; Streaming video ; Electronic videos
    Abstract: Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing. 21+ Hours of Video Instruction Overview CompTIA A+ Core 1 (220-1001) Complete Video Course is a unique video product that provides a solid understanding of A+ skills. The purpose of these videos is to act as quick, concise, hands-on training that is easily absorbed. In this best-selling author and instructor-led course you will get coverage of every objective and topic in the CompTIA A+ Core 1 (220-1001) exam. It is also full of hands-on demos so you can see real hardware and software presentations. David Prowse walks you through the details you need to not only pass the test, but troubleshoot and fix real hardware, software, and network problems for your career. The author also includes Tech Tips throughout to give you insider info on troubleshooting, repair, and maintenance. This title can be used as your sole resource for learning the material needed to study for and pass the test. You can also use this as a supplement to other A+ training. Five domains map to the main objectives of the CompTIA A+ Core 1 (220-1001) exam. These domains contain 37 lessons with video totaling more than 21 hours of hands-on demonstrations, audio instruction, animations, whiteboard training, and video screencasting. The videos also include the author building a computer live on camera so you can see first-hand how to accomplish this key task. He also includes hands-on configuration labs; laptop, smartphone, and device hardware labs; and live-action troubleshooting labs. The 37 video lessons are broken down into five domains and cover the following topics: Mobile Devices Networking Hardware Virtualization and Cloud Computing Hardware and Network Troubleshooting Topics include Domain 1: Mobile Devices Domain 2: Networking Domain 3: Hardware Domain 4: Virtualization and Cloud Computing Domain 5: Hardware and Network Troubleshooting Skill Level Beginner You Will Learn All the objectives in the CompTIA A+ Core 1 (220-1001) exam Test-taking techniques with interactive practice quizzes, performance-based simulations, and hands-on exercises How to build a computer, perform networking tasks, configure laptops and mobile devices, and perform troubleshooting ta...
    Note: Online resource; Title from title screen (viewed June 24, 2019)
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    Beginning Data Merge with Adobe InDesign CC : Quickly Create Files Using an Excel Spreadsheet (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484245385
    Language: English
    Pages: 1 online resource (1 video file, approximately 43 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Discover how to create a data merge in easy steps and avoid making basic mistakes using this video. You will take each section step by step to gradually advance your skill level. First, you'll learn how to do a single page data merge that you can send to clients or a print house to be part of a mailer. You’ll easily build your first data merge file and acquire all the skills you need to use for your own projects. If you have already designed a form letter for a client mailer in Adobe InDesign, you’ll see that you don’t need to convert it to a Microsoft Word document to create a mail merge. Instead it’s easier to use InDesign’s Data Merge panel to save you time and money. Here you’ll use data from a Microsoft Excel spread sheet, turn it into a CSV file, and do your data merge. Through this video, you'll see how each step is accomplished through sub-menus and dialog boxes in InDesign and Excel. What You Will Learn Preview linked information fields using the Data Merge panel in InDesign Work with special characters Link data using InDesign’s Data Merge panel Merge the data of the form letter into one document Export a created PDF Use the same CSV data for other related InDesign documents Who This Video Is For Students, graphic designers, and corporate administrators who need to create documents for events. You should have some experience in basic layout in InDesign.
    Note: Online resource; Title from title screen (viewed March 2, 2019)
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    CCNA 200-301 Foundations : A Pre-CCNA Review of Networking Fundamentals (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 hr., 42 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 12+ Hours of Video Instruction Overview Even though the CCNA certification is an associate level program, exam candidates are expected to have a basic knowledge of IP addressing, knowledge of networking fundamentals, and some experience deploying and managing Cisco solutions. CCNA 200-301 Foundations LiveLessons provides you with the pre-requisite knowledge needed to begin your CCNA exam preparation. Assuming no previous knowledge, this comprehensive networking fundamentals course covers the theory and operation of multiple networking technologies, all designed to lay a strong foundation for your CCNA studies and beyond. About the Instructor Kevin Wallace, CCIEx2 (Route/Switch and Collaboration) #7945 With Cisco experience dating back to 1989, Kevin has been a Network Design Specialist for the Walt Disney World Resort, a Network Manager at Eastern Kentucky University, an instructor for Cisco Learning Partners, an author of multiple Cisco Press books, and a Distinguished Speaker at Cisco Live. Currently, Kevin owns and operates Kevin Wallace Training, LLC (kwtrain.com), a provider of self-paced training materials that simplify computer networking. Skill Level Beginner Learn How To In this course, you’ll learn the fundamentals of networking, to get you prepared to begin your Cisco CCNA studies. Specifically, you’ll learn the basics of the following topics: protocols and reference models, network devices, network topologies, network services, WAN technologies, cables and connectors, Ethernet switches, wireless networking, network addressing, routing, unified communications, cloud and virtualization, network security, network monitoring and management, high availability, and quality of service. Who Should Take This Course This course is designed for anyone wanting to work towards their Cisco CCNA certification that has less than two years of networking experience. Course Requirements Since this is an introductory level course, there are no prerequisites. Lesson descriptions Protocols and Reference Models: In this lesson, you’ll learn about commonly used network protocols and how they fit into the OSI Model. Network Devices: In this lesson, you’ll learn about the operation of network devices such as routers, switches, and firewalls. Network Topologies and Categories: In this lesson, you’ll learn about ways to categorize networks based on size and where resources are located. Network Services: In this lesson, you’ll learn about network services suc...
    Note: Online resource; Title from title screen (viewed August 29, 2019)
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    The ethics of analytics (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: As more and more data is being collected, concerns are constantly being raised about what data is appropriate to collect and how (or if) it should be analyzed. There are many ethical, privacy, and legal issues to consider, and no clear standards exist in many cases as to what is fair and what is foul. This means that organizations must consider their own principles and risk tolerance in order to implement the right policies. Bill Franks (International Institute For Analytics) explores a range of ethical, privacy, and legal issues that surround analytics today, framing the big questions to consider and detailing some of the trade-offs and ambiguities that must be addressed to answer them. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Test in production : Yes, you can (and you should) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 32 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Testing in production has gotten a bad rap. People act like testing in production implies you aren’t doing due diligence with your tests before production. But it’s more like a fact of life: you can only catch the easy bugs in staging—the known-unknowns, the things you predicted would fail, and the things that have failed before. Which isn’t nothing, but it’s no better than running tests on your laptop. Most interesting problems are only going to manifest under real workloads, on real data, with real users doing unpredictable things under real concurrency and resource pressure. So you should use much fewer of your scarce engineering cycles poring over staging and much more of them building guard rails for prod. Production—where your customers live—is the only environment that matters. Time spent interacting with nonprod systems is wasted time. Replicas are not valuable for helping build your instincts, your skill set, your intuition. Secondary environments actually train you to expect faulty assumptions and to take dangerous shortcuts and run terrifying commands. You should force people to develop and test on production as much as possible and interact with production every day. Charity Majors (Honeycomb) dives into tooling and shares ways to harden production and make it safe for engineers to do their work directly on it—from deploys and canarying to feature flags, instrumentation and observability, human practices and workflows, and much more. This session was recorded at the 2019 O'Reilly Velocity Conference in San Jose.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Technology Strategy Patterns (Audio Book) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 9 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks ; local
    Abstract: Technologists who want their ideas heard, understood, and funded are often told to speak the language of business—without really knowing what that is. This book’s toolkit provides architects, product managers, technology managers, and executives with a shared language—in the form of repeatable, practical patterns and templates—to produce great technology strategies. Author Eben Hewitt developed 39 patterns over the course of a decade in his work as CTO, CIO, and chief architect for several global tech companies. With these proven tools, you can define, create, elaborate, refine, and communicate your architecture goals, plans, and approach in a way that executives can readily understand, approve, and execute. This book covers: Architecture and strategy: Adopt a strategic architectural mindset to make a meaningful material impact Creating your strategy: Define the components of your technology strategy using proven patterns Communicating the strategy: Convey your technology strategy in a compelling way to a variety of audiences Bringing it all together: Employ patterns individually or in clusters for specific problems; use the complete framework for a comprehensive strategy
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Spotlight on Innovation : AI Trends with Roger Chen (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Artificial intelligence can be intimidating. There are complex, sticky challenges of data collection and verification, algorithms and bias, and deploying AI services to production, plus ever-expanding ethical concerns. New trends in hardware, algorithms, tools, and data ecosystems are quickly transforming AI into a must-have for today’s organizations. Progress is accelerating, but so are obstacles; a successful, real-world implementation of AI depends on balancing many interdependent concerns. Recorded on March 13, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Innovation , you’ll discover what successful companies have in common and how you can follow their lead with small practical steps to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed August 1, 2019)
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    Spotlight on Data : Improving Uber’s Customer Support with Natural Language Processing and Deep Learning with Piero Molino (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 57 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: For a company looking to provide delightful user experiences, it's critical to resolve customer issues quickly and efficiently. Uber has implemented COTA, a system that helps representatives provide the best experience to customers by suggesting the best solutions. COTA improves the speed and reliability of customer support through automated ticket classification and answer selection for support representatives. By improving speed and reliability, COTA also helps reduce customer support operations costs. In this Spotlight on Data , find out how Uber leverages large-scale data and deep learning models for operational efficiency and improved user experience. Piero Molino details how Uber has reduced issue resolution time by 20% while maintaining levels of customer satisfaction, using NLP, deep learning, A/B testing, and productionized models. Recorded on July 2, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Data , you’ll learn about, discuss, and debate the tools, techniques, questions, and quandaries in the world of data. You’ll discover how successful companies leverage data effectively and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed October 17, 2019)
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    Shortcuts that short-circuit talent pipelines : Data-driven optimization of hiring (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 43 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: As acute shortages for data scientists and engineers further develop in competitive talent markets, it’s imperative to address biases and bottlenecks in the hiring of data scientists and engineers. Most companies approach hiring and talent management as an art, relying on judgment and experience when conceptualizing jobs, drafting JDs, and screening and assessing candidates. Maryam Jahanshahi (TapRecruit) explains how often-innocuous recruiting decisions have dramatic impacts on hiring outcomes, from the success of a hiring process to the candidate pool composition and the amount of time it takes to hire. She then discusses how using data-driven approaches provide an arbitrage opportunity that has significant impact on both the quality and diversity of candidate pools for data science and engineering roles. Maryam covers the role of confounders in the hiring process, explores the complexity of job descriptions, and shares how she extracted signal from noise to extract the key conclusions she presents. She then presents key hiring heuristics in three vignettes: the one word that creates significant ripple effects at every stage of the hiring process; the surprising way that startups do better in the talent war for data scientists and engineers; and hacking diversity, or how she and her team learned to reproducibly and robustly recruit a diverse pool of data scientists and engineers. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Red Hat Certified Engineer (RHCE) (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 hr., 21 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Overview † More than 8 hours of training so you can pass the Red Hat Certified Engineer (RHCE) exam. Includes practice exam questions so you can put your knowledge to the test. Description Red Hat Certified Engineer (RHCE) Complete Video Course is a unique video product that provides a solid understanding of all the topics that are required to pass the Red Hat Certified Engineer (RHCE) exam. This title explores how to accomplish advanced system administration tasks, such as writing shell scripts, troubleshooting a server boot procedure, working with SELinux and firewalls, and configuring different network services.† Red Hat Certified Engineer (RHCE) Complete Video Course contains 17 individual video lessons divided into four modules, for a total of more than 8 hours of training. The videos consist of live trainer instruction, whiteboard training, CLI presentations, live demos, video screen casts, and practice exam walk-throughs. The author covers all the objectives in the exam so you can use this course as a complete study tool for taking the Red Hat Certified Engineer (RHCE) exam. Each lesson ends with a practice exercise, so you can practice within a CLI environment and put your knowledge to the test. Complete explanations for each exercise are also offered so you can check your work. Major topics include Advanced System Management Configuring Authentication Configuring iSCSI Target and Initiator System Performance Reporting System Optimization Basics Configuring Logging Networking and Apache Configuring Advanced Networking Managing Linux-Based Firewalls Configuring Apache Virtual Hosts Managing Advanced Apache Features DNS and File Sharing Configuring a Cache-only DNS Server Configuring NFS File Sharing Managing SMB File Sharing Essential Back-end Services Setting Up an SMTP Server Managing SSH Managing MariaDB Managing Time Services Shell Scripting Skill Level * Beginning to intermediate What You Will Learn - Key concepts for all the objectives on the Red Hat Certified Engineer (RHCE) exam - Information on the new RHEL 7 exam Who Should Take This Course Primary audience: -Anyone wanting to get RHCE certified Secondary audience: - Linux engineers interested in learning more about Red Hat Enterprise Linux - Junior system administrators who want to deepen their skills - Administrators with a profound knowledge and experience working with other Linux distributions, such as SUSE Linux Enterprise Server - Administrators ...
    Note: Online resource; Title from title screen (viewed July 30, 2019)
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    O'Reilly Software Architecture Conference 2019 - San Jose, California (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 63 hr., 23 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The O'Reilly Software Architecture Conference San Jose 2019 (SACON) gathered the world's leading software architects and engineers to give presentations on software architecture's most useful technologies, trends, and techniques. This video compilation gives you complete access to the best of SACON's keynotes, tutorials, and technical sessions. It contains hours of material to review and study at your own pace. Whether you are optimizing legacy systems or migrating to cloud native architecture, this compilation from SACON San Jose 2019 offers you the insights and training you need to get to the next level. Highlights include: Contains hours of video recordings from the best of SACON San Jose 2019's keynotes, tutorials, and technical sessions. 3.5 hour tutorials like Christian Hernandez's (Red Hat) hands-on introduction to Kubernetes and OpenShift; Nathaniel Schutta's (Pivotal) deep dive into trade-off analysis and how to use it to strategically choose the correct technology for your projects; and Valentina Rodriguez's (Independent) reveal of the twelve essential principles of architecture design in Agile environments. Keynotes from Rebecca Wirfs-Brock (Wirfs-Brock Associates), Michael Feathers (R7K Research and Conveyance), Adam Tornhill (Empear), Rebecca Parsons (ThoughtWorks), and Neal Ford (ThoughtWorks). Application Architecture sessions, such as Stefania Stefansdottir's (ThoughtWorks) walk through of the practices all new architects and tech leads should keep in mind when starting a new project; Ian Varley (Salesforce) on spotting and correcting the cognitive biases that undermine your software architecture; and Andrew Bonham and Thiagarajan Subramanian's (Capital One) review of how to use reactive architecture and microservices, machine learning, H20, Akka, and Kafka. Microservices sessions, including Kasun Indrasiri's (WSO2) in-depth overview of common microservice resiliency patterns such as timeout, retry, circuit breaker, fail-fast, bulkhead, transactions, and more; Nathaniel Schutta (Pivotal) on the factors used to decide if something deserves to be a microservice or not; and Samir Behara (EBSCO) on building scalable microservice architectures with Envoy, Kubernetes, and Isti. Enterprise Architecture sessions, including Heidi Waterhouse (Launch Darkly) on the smartest ways to achieve build-versus-buy decisions; Cat Swetel (Ticketmaster) on using value network mapping and real options theory to evolve monolithic software; and Paula ...
    Note: Online resource; Title from title screen (viewed June 13, 2019)
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    Learning from multiagent emergent behaviors in a simulated environment (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 44 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Traditionally, determining the most efficient designs and practices—whether for determining how store merchandise should be arranged or where people and machines should be laid out in a factory floor—has required vast amounts of data and human assessment. These efficient designs can be the difference between a thriving company and a struggling one. Recent advancements in multiagent reinforcement learning within virtual environments, such as DeepMind’s Capture the Flag or Open AI’s Learning to Compete and Cooperate, have led to a novel approach for tackling efficient design and practices. Danny Lange (Unity Technologies) explains how observing emergent behaviors of multiple AI agents in a simulated virtual environment can lead to the most optimal designs and real-world practices, all without introducing human bias or the need for vast amounts of data. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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  • 85
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    From flat files to deconstructed databases : The evolution and future of the big data ecosystem (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 44 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Over the past 10 years, big data infrastructure has evolved from flat files in a distributed filesystem to an efficient ecosystem to a fully deconstructed and open source database with reusable components. With Hadoop, we started from a system that was good at looking for a needle in a haystack using snowplows. We had a lot of horsepower and scalability but lacked the subtlety and efficiency of relational databases. But since Hadoop provided the ultimate flexibility compared to the more constrained and rigid RDBMSs, we didn’t mind and plowed through. However, machine learning, recommendations, matching, abuse detection, and data-driven products in general require a more flexible infrastructure. Over time, we started applying everything that had been known to the database world for decades to this new environment. We’d been told loud enough how Hadoop was a huge step backward. And it was true to some degree. The key difference was the flexibility of the Hadoop stack. There are many highly integrated components in a relational database and decoupling them took some time. Today, we see the emergence of key components, such as optimizers, columnar storage, in-memory representation, table abstraction, and batch and streaming execution, as standards that provide the glue between the options available to process, analyze, and learn from our data. We’ve been deconstructing the tightly integrated relational database into flexible reusable open source components. Storage, compute, multitenancy, and batch or streaming execution are all decoupled and can be modified independently to fit every use case. Julien Le Dem (WeWork) discusses the key open source components of the big data ecosystem—including Apache Calcite, Parquet, Arrow, Avro, and Kafka as well as batch and streaming systems—and explains how they relate to each other and how they make the ecosystem more of a database and less of a filesystem. (Parquet is the columnar data layout to optimize data at rest for querying. Arrow is the in-memory representation for maximum throughput execution and overhead-free data exchange. Calcite is the optimizer to make the most of our infrastructure capabilities.) Julien also explores the emerging components that are still missing or haven’t become standard yet to fully materialize the transformation to an extremely flexible database that lets you innovate with your data. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Fraud detection without feature engineering (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: In many industrial ML applications, feature engineering consumes the lion’s share of time, energy, and resources. Deep learning promises to replace feature engineering with models that learn end to end from “close-to-reality” data and has convincingly realized this promise for computer vision and natural language processing. But does this promise apply outside of these domains? Pamela Vagata (Stripe) explains how Stripe has applied deep learning techniques to predict fraud from raw behavioral data. Since fraud detection is a critical business problem for Stripe, the company already had a well-tuned feature-engineered model for comparison. Stripe found that the deep learning model outperforms the feature-engineered model both on predictive performance and in the effort spent on data engineering, model construction, tuning, and maintenance. Join in to discover how common industry practice could shift toward deeper models trained end to end and away from labor-intensive feature engineering. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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  • 87
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    Expert Playlist Intro : Lessons from Amazon, Google, Apple and Other Silicon Valley Giants (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 4 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: In this brief introduction to Tim O'Reilly's Expert Playlist , find out why he selected these pieces to study how some of the most advanced companies on the planet not only use technology but build their culture to support it.
    Note: Online resource; Title from title screen (viewed August 25, 2019)
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  • 88
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    Executive Briefing : Why machine-learned models crash and burn in production and what to do about it (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Much progress has been made over the past decade on process and tooling for managing large-scale, multitier cloud apps and APIs, but there is far less common knowledge on best practices for managing machine-learned models (classifiers, forecasters, etc.), especially beyond the modeling, optimization, and deployment process once these models are in production. A key mindset shift required to address these issues is understanding that model development is different than software development in fundamental ways. David Talby (Pacific AI) shares real-world case studies showing why this is true and explains what you can do about it, covering key best practices that executives, solution architects, and delivery teams must take into account when committing to successfully deliver and operate data science-intensive systems in the real world. Topics include: Concept drift (Machine-learned models begin degrading as soon as they’re deployed and must adapt to a changing environment.) Locality and limited reuse and generalization of models A/B testing challenges, which make it very hard in practice to know which model will perform better in production Semisupervised and adversarial learning scenarios, which require modeling and optimizing models only once they’re in production The impact of all of the above on product planning, staffing, and client expectation management This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Exam MD-101 Managing Modern Desktops (Video) (2019)
    [Erscheinungsort nicht ermittelbar] : Microsoft Press | Boston, MA : Safari
    Details
    ISBN: 9780135971673 , 0135971675
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 32 min.)
    Edition: 1st edition
    Keywords: Internet videos ; Streaming video ; Electronic videos ; local ; Vidéos sur Internet ; Vidéo en continu ; streaming video ; Internet videos ; Streaming video ; Electronic videos
    Abstract: 6+ Hours of Video Instruction More than 6 hours of video instruction to help you manage your organization’s Windows 10 desktops and prepare for Exam MD-101 Managing Modern Desktops; one of the exams required to achieve Microsoft 365 Certified: Modern Desktop Administrator Associate. Overview This engaging, self-paced instructional video course demonstrates how to deploy and update operating systems, manage policies and profiles, protect devices, and manage apps and data. If you’re planning to take Exam MD-101 Managing Modern Desktops, this video course covers the exam objective domains published by Microsoft in a logical way for learning the technology and preparing for the exam. Throughout each lesson, Microsoft certified trainer and technical author Andrew Warren describes key concepts and puts them into action with demonstrations and real-world scenarios. About the Instructor Andrew Warren has more than 30 years of experience in the IT industry, many of which he has spent teaching and writing. He is a Microsoft Certified Trainer and has been involved as a subject matter expert in many of the Windows Server 2016 courses and as the technical lead in many Windows 10 courses. He also has been involved in developing TechNet sessions about Microsoft Exchange Server. He is the co-author of Exam Ref MD-100 Windows 10 , Exam Ref MD-101 Managing Modern Desktops , Exam Ref 70-741 Networking with Windows Server 2016 , and Exam Ref 70-742 Identity with Windows Server 2016 published by Microsoft Press. Andrew is based in the United Kingdom and lives in rural Somerset where he runs his own IT training and education consultancy. Skill Level Intermediate Learn How To Deploy and update operating systems Manage policies and profiles Manage and protect devices Manage apps and data Who Should Take This Course IT professionals who deploy, configure, secure, manage, and monitor devices and client applications in an enterprise environment IT professionals who manage identity, access, policies, updates, and apps IT professionals who want to explore new and updated features in Windows 10 Candidates preparing for Exam MD-101 Managing Modern Desktops Course Requirements Experience deploying, configuring, and maintaining Windows 10 and non-Windows devices Familiarity with M365 workloads
    Note: Online resource; Title from title screen (viewed October 9, 2019)
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    Enabling insights and analytics with data streaming architectures and pipelines using Kafka and Hadoop (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: In a large global health services company, streaming data for processing and sharing comes with its own challenges. Data science and analytics platforms need data fast, from relevant sources, to act on this data quickly and share the insights with consumers with the same speed and urgency. Join Mohammad Quraishi (Cigna) to learn why streaming data architectures are a necessity—Kafka and Hadoop are key. Mohammad outlines architectures centered around the Hadoop Platform and Kafka that were implemented to support a variety of integration and analytics requirements. Topics include: Enabling streaming to and from relational sources and files using custom frameworks that automate and speed up workflows Combining the polyglot techniques with Kafka API to support various streaming solutions Combining data driven techniques to support consumers through a simple streaming architecture and microservices How HBase, Kudu, and Kafka Streams are used to reduce latency between these microservices and frontend application APIs Enabling the consumption and sharing of data sources and results using streams Enabling Spark Structured Streaming, Flink, and Spark ML on these streams Enabling data sync between on-premises data lakes and the cloud Supporting cloud native architectures that enable machine learning in the cloud This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Distributed event-driven services : From the trenches (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 50 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: In his best-selling book Patterns of Enterprise Application Architecture , Martin Fowler famously coined the first law of distributed computing—"Don’t distribute your objects"—implying that working with this style of architecture can be challenging. A few years ago, Barclays embarked on a journey to migrate its legacy services with the objective of achieving a high level of scale, resilience, and reliability, mainly employing an ecosystem of focused, distributed services. It’s fair to say that the company has discovered through firsthand experience that there’s quite a bit of truth to that statement. Prem Chandrasekaran provides an insider scoop on Barclays’s journey deploying services to a private cloud-based infrastructure making use of foundational patterns such as domain-driven design, event-driven architecture (EDA), command query responsibility segregation (CQRS), and event sourcing, among others. Prem recounts some of the challenges faced during the transformation and sheds light on the things that worked well and those that didn’t. Topics include: How to establish buy-in with senior stakeholders and management How to recruit, onboard, and train new team members How to establish the boundaries of your teams and services How to focus on the right amount and kinds of tests in your pipelines How to ensure database and API compatibility How to centralize and externalize secrets and configuration How to diagnose and pinpoint issues in unattended, asynchronous processes How to decide between blue-green and rolling deployments How to work with private and public cloud implementations This session was recorded at the 2019 O'Reilly Software Architecture Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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  • 92
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    Deploying and Migrating to Azure Web Apps : Optimizing Web Server Workloads (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
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    ISBN: 9781484255926
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 10 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn everything you need to know to get started with Azure web apps, including deployment, key features, and benefits, to monitoring. This video introduces you to Azure App Service, and more specifically, Azure web apps. Starting from a base deployment of an Azure-running web site, you will learn about several cloud-native features of the service. These are key in allowing you to run highly available and production-ready web applications on Azure, without the underlying web server virtual machines. You will also learn about integration with Visual Studio and Visual Studio Code, to ease the overall deployment and management of such web apps from a development and sysadmin perspective. What You Will Learn Understand Azure web app core features and functionalities Deploy scalable and high-available web apps across regions Leverage Azure web app scaling features Publish web applications from Visual Studio and Visual Studio Code Run highly available web apps across multiple Azure regions Use Azure Monitor for monitoring and troubleshooting Azure web apps Who This Video Is For Developers who want a brief introduction to the value and uses of Azure web apps.
    Note: Online resource; Title from title screen (viewed November 4, 2019)
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    Deep learning for time series data (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 42 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Arun Kejariwal (Independent) and Ira Cohen (Anodot) share a novel two-step approach for building more reliable prediction models by integrating anomalies in them. The first step uses anomaly detection algorithms to discover anomalies in a time series in the training data. In the second, multiple prediction models, including time series models and deep networks, are trained, enriching the training data with the information about the anomalies discovered in the first step. Anomaly detection for individual time series is a necessary but insufficient step due to the fact that anomaly detection over a set of live data streams may result in anomaly fatigue, thereby limiting effective decision making. One way to address the above is to carry out anomaly detection in a multidimensional space. However, this is typically very expensive computationally and hence not suitable for live data streams. Another approach is to carry out anomaly detection on individual data streams and then leverage correlation analysis to minimize false positives, which in turn helps in surfacing actionable insights faster. They then walk you through marrying correlation analysis with anomaly detection, discuss how the topics are intertwined, and detail the challenges you may encounter based on production data. They also showcase how deep learning can be leveraged to learn nonlinear correlation, which in turn can be used to further contain the false positive rate of an anomaly detection system. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    Data Analytics and Machine Learning Fundamentals LiveLessons Video Training (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 hr., 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: More than 7.5 Hours of Video Instruction Overview Nearly every company in the world is evaluating its digital strategy and looking for ways to capitalize on the promise of digitization. Big data analytics and machine learning are central to this strategy. Understanding the fundamentals of data processing and artificial intelligence is becoming required knowledge for executives, digital architects, IT administrators, and operational telecom (OT) professionals in nearly every industry. In Data Analytics and Machine Learning Fundamentals LiveLessons , experienced CCIEs Robert Barton and Jerome Henry provide more than 7 1/2 hours of personal instruction exploring the principles of big data analytics, supervised learning, unsupervised learning, and neural networks. In addition to delving into the fundamental concepts, Barton and Henry address sample big data and machine learning use cases in different industries and present demos featuring the most common tools (such as Hadoop, TensorFlow, Matlab/Octave, R, and Python) in various fields used by data scientists and researchers. At the conclusion of this video course, you will be armed with knowledge and application skills required to become proficient in articulating big data analytics and machine learning principles and possibilities. Skill Level Beginner to intermediate data analytics/machine learning knowledge Learn How To * Understand how static and real-time streaming data is collected, analyzed, and used * Understand the key tools and methods that enable machines to learn and mimic human thinking * Bring together unstructured data in preparation for analysis and visualization * Compare and contrast the various big data architectures * Apply supervised learning/linear regression, data fitting, and reinforcement learning to machines to yield the information results you’re looking for * Apply classification techniques to machine learning to better analyze your data * Exploit the benefits of unsupervised learning to glean data you didn’t even know you were looking for * Understand how artificial neural networks (ANNs) perform deep learning with surprising (and useful) results * Apply principal components analysis (PCA) to improve the management of data analysis * Understand the key approaches to implementing machine learning on real systems and the considerations you must make when undertaking a machine learning project Who Should Take This Course * Anyone who wants to learn about machine learni...
    Note: Online resource; Title from title screen (viewed April 2, 2019)
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    Choreographing microservices (NY) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Choreographed microservices talk to each other asynchronously, blindly broadcasting notifications into a service cloud. Those notifications are handled by whatever client services are interested. These systems eliminate many of the problems associated with orchestrated systems (which work more like synchronous function calls) and are typically much faster than orchestrated systems, but they have their own idiosyncrasies and implementation challenges. Allen Holub explores the inherent problems in orchestrated systems and then looks at how choreography can solve those problems. Allen explores three approaches to choreography: HTTP based, pub/sub messaging based, and brokerless swarming systems. He introduces appropriate messaging architectures and frameworks and looks at several practical examples. Finally, Allen looks at event storming: one of the best approaches to designing choreographed systems. You’ll leave with an understanding of both why you should be using choreography for most high-level APIs and how to design and build these systems. This session was recorded at the 2019 O'Reilly Software Architecture Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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    CCNA 200-301 (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (1 video file, approximately 14 hr., 44 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.
    Note: Online resource; Title from title screen (viewed October 15, 2019)
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    Building Apps with SwiftUI : Custom Views and Common Use Cases (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
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    ISBN: 9781484253106
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 6 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Create a basic application flow with SwiftUI involving login and a user dashboard interface in this video. Discover the new file structure introduced by SwiftUI and how it uses structs instead of classes for Views. Then learn about common layout elements such as Text, Images, HStack, VStack, ZStack, and NavigationViews. After understanding the structure and elements, dive in to create a login layout and a user authentication backend. Then once you've got your user logged in, create a dashboard layout for your users with SwiftUI. Finally learn to troubleshoot and polish up your new interfaces. What You Will Learn Create login and dashboard interfaces Troubleshoot common SwiftUI interface issues Incorporate NodeJS for authentication and backend work Who This Video Is For iOS developers with a basic familiarity of the Swift language who would like to use SwiftUI to design easy, elegant, and powerful interfaces.
    Note: Online resource; Title from title screen (viewed August 19, 2019)
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    Amazon Web Services AWS LiveLessons 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 17 hr., 14 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: More Than 17 Hours of Video Instruction More than 17 hours of video instruction on Amazon Web Services with coverage on cloud computing and available AWS services, as well as a guided hands-on look at using services such as EC2 (Elastic Compute Cloud), S3 (Simple Storage Service), and more. Overview Amazon Web Services (AWS) LiveLessons is a unique video product designed to provide a solid foundational understanding of the Amazon Web Services (AWS) infrastructure-as-a-service (IaaS) products. The course covers concepts necessary to understand cloud computing platforms, distributed computing, multi-tier architectures, virtual machines, storage, databases, analytics, high availability, and much more. This course has been designed to show just how simple and cost-effective it is to achieve a superior level of high-availability, fault-tolerance, security, and reduced operational burden in your infrastructure and applications. Detailed throughout the course are a number of use cases designed to spark your imagination and exemplify well-architected solutions within the rich and varied ecosystem that is Amazon Web Services. You can also use this video as a secondary resource to help you study for the AWS Cloud Practitioner and Solutions Architect Exams. Since the first edition of this course, AWS has added many new services to their offerings, as well as many new features to existing services. The AWS web-based management console has also seen significant updates and improvements. In this second edition, many of those new services and features are covered, and all new diagrams have been provided to more accurately represent those you will see in a real-world scenario. The new edition also includes all new demos to account for changes in the AWS management console user interface. Amazon Web Services (AWS) LiveLessons contains 14 independent video lessons totaling almost 13 hours of instruction. The videos contain in-depth instruction using live demos, slide instruction, and video captures. Demonstrations of Amazon Web Services and third-party cloud solutions are included to provide necessary context and experience for further study and use of AWS. Skill Level Beginner/All levels Learn How To Get started with AWS, including networking, computing, storage, managing databases, and security Understand cloud-computing platforms, and how AWS fits into them Use EC2, CloudWatch, S3 Buckets, and more Use IAM, VPC, NACLs, AMI, ECS, EKS, EBS, and other various t...
    Note: Online resource; Title from title screen (viewed March 26, 2019)
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    T-SQL Data Manipulation : Inserting, Updating, Deleting, and Merging in SQL Server (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
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    ISBN: 9781484249932
    Language: English
    Pages: 1 online resource (1 video file, approximately 41 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: This video course teaches how to go beyond writing SELECT statements and to manipulate data within your database tables. You’ll begin with an introduction to Data to Data Manipulation Language (DML) that covers the INSERT, UPDATE, and DELETE statements. You’ll use these three statements most often, and they are the next most common three to use following the SELECT statement that has been covered earlier in this series. Watching the video, you’ll learn how to use these three statements to insert new data into your database to tables, and to update data in place without having to bring it down to the client and push it back and forth network. You’ll also learn to delete data when it’s no longer needed. Also covered in the video is the MERGE statement. You’ll learn how this little used but very useful statement works to make extract, transform, load (ETL) processes much more streamlined. You’ll learn to throw large numbers of rows at your database, letting the MERGE statement sort out which rows represent new data to be inserted, and which represent updates to existing data. You’ll be able to write cleaner load processes for data warehouses, data marts, and other reporting statements using your knowledge of MERGE. You’ll also learn some fast ways to delete data from database tables. In addition to DELETE, you’ll learn about DROP and TRUNCATE. These statements provide you with options for quickly deleting data. Each has their best use, and this video helps you to make the correct choices and avoid unwanted downtime in your production database environments. Finally, you’ll learn about identity columns and sequences, using them to generate primary keys to uniquely identify new rows of data that you are storing in your database tables. Throughout this video you’ll learn the gamut of data manipulation statements that SQL Server places at your disposal, and when each is best applied. What You Will Learn Add data to your database using INSERT and MERGE statements Update data in place without sending it back and forth over the network Choose correctly from three possible ways of removing unwanted data Streamline ETL process used to load data marts and data warehouses Automatically generate primary keys to uniquely identify new records Who This Video Is For For business analysts, developers, and others whose career will benefit from a knowledge of the SQL language for accessing Microsoft SQL Server databases and manipulating the data they contain.
    Note: Online resource; Title from title screen (viewed May 21, 2019)
    URL: lizenzpflichtig
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    Online Resource
    Spotlight on Data : Creating Smart Products Requires Collaboration with Gretchen Anderson (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 55 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: We're experiencing a boom in smart products and services, from virtual assistants like Alexa to robotic surgical tools. But as we design and develop products of increasing complexity—incorporating machine learning to drive autonomous decision making—measuring output and outcomes also explodes in complexity. In the face of all this complexity, how do you design your teams and collaborative processes to ensure a successful product? Teams have to move away from merely seeking “approvals” and toward collaborating on the goals and parameters; they must also target use cases that will make or break the experience for end users. The more dynamic the technology, the wider the range of diverse perspectives that must inform the process. Data scientists, designers, developers, lawyers, and regulators all need to weigh in, and their voices need to be heard and accounted for. Recorded on April 15, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O’Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts’ unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Data , you’ll learn about, discuss, and debate the tools, techniques, questions, and quandaries in the world of data. You’ll discover how successful companies leverage data effectively and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed September 17, 2019)
    URL: lizenzpflichtig
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