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  • Safari, an O’Reilly Media Company  (373)
  • Salon, Data  (51)
  • Kloskowski, Matt  (25)
  • Spamer, Adolf (1883-1953)
  • Electronic videos ; local  (448)
Datasource
Material
Language
Years
Author, Corporation
Publisher
Keywords
  • 1
    Online Resource
    Online Resource
    Hands on Inquiry into Algorithmic Bias and Machine Learning Interpretability (2020)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 35 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Fatih Akici - Manager, Risk Analytics and Data Science at Populus Financial Group As intelligent systems deepen their footprints in our daily lives, algorithmic bias becomes a more prominent problem in today's world. The position of executives and data science leaders to this issue is generally reactive, in that, companies solely respond to the requirements coming from regulatory agencies. In this presentation, I am going to argue why the leaders should be proactive in identifying biases and how they will benefit from fixing them. I will demonstrate my point on an applied example.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , 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.
  • 2
    Online Resource
    Online Resource
    Minority Report : Can we predict emergencies (2020)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 24 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Michael Zelenetz – Analytics Project Leader at New York-Presbyterian Hospital Forecasting is widely used in a number of business, but can it be used to optimize operations in an emergency department? This talk will walk through the development of a forecasting model to predict future arrivals to the emergency department. We will review the fundamentals of forecasting, discuss feature engineering, and how to get your first forecast off the ground.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , 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
    IoT and Analytics Condition Based Maintenance (2020)
    [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: Presented by Stanislaw Schmal Combining IoT and sensor analytics opens a new world of operations and maintenance efficiency. A real-world demonstrator of audio analytics and customized IoT device will be shown and its business application to condition based maintenance will be discussed in this session.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , 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.
  • 4
    Online Resource
    Online Resource
    All Models are Wrong, but Some are Useful. Especially with the Right Data (2020)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 18 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Alex Schwarm – VP/Head of Data Science at Dun & Bradstreet For many teams, the most challenging step in delivering useful results, is less about the modeling techniques and methods and more about having access to the right data with the appropriate data coverage of the domain of interest. In this talk, we will describe two specific use cases where data pays a crucial role: one around identifying supply chain risks and one related to prospect targeting. For the supply chain risk use case, we will describe how access to unique data assets reveals the impact of the Coronavirus on supply chains and how this impacts global businesses. We will also describe how some companies are offering data scientists the ability to access data to determine which data assets best solve their business analytics and modeling needs, with a particular focus on prospect targeting.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , 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
    Process Automation using Machine Learning (2020)
    [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 Raktim Saha – Director, Digital Insights, CGI The focus of this talk is to showcase how Machine learning and AI is leveraged to radically outperform traditional loan-underwriting acceptance process for one of the largest lenders in US by utilizing a broader set of market, demographic, and various events data. Implementing an automated data-driven process in a large Enterprise and especially in a highly regulated industry has its own challenge spanning from data collection to accuracy of insights, and finally streamline the overall process. The speaker will cover the business, data, and technical aspects of this implementation.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , 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
    Model Monitoring Pipelines (2020)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 23 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Boryana Manz – Manager, Data Science at Capital One Model monitoring can make or break how models empower and deliver business value. This talk will highlight the key components for the proactive design of integrated and flexible model monitoring. It will include best practices for making the process seamless, flexible and actionable.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , 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
    Leveraging Machine Learning and Open Data for Smart Cities (2020)
    [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: Presented by Priscilla Boyd – Senior Manager, Data Analytics at Siemens Mobility This presentation discusses how AI, machine learning and data publicly available is playing a role in smart cities, walking through applications developed using ML to solve practical transportation for smart cities globally.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , 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
    Applied Machine Learning for Spreading Financial Statements (2020)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 22 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Moody Hadi – Group Manager – Financial Engineering at S&P Global Market Intelligence Counterparty financial statements, particularly for small and medium enterprises can be difficult to handle. Financial analysts need to be able to distill out relevant line items in order to calculate their credit exposure to a counterparty for lending purposes. The solution solves a labor intensive, expert driven inefficient process and frees up the analysts to focus on their high value add operations. This involves combining Optical Character Recognition using pre-trained language neural networks, with context sensitive semantic matching. We will go over the developed ML pipleline and architecture.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , 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
    New Frontiers in ML driven Customer Intelligence (2020)
    [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: Seemit Sheth – Head of Data Science at Capital One Micah Price – Principal Associate Data Scientist at Capital One Capital One is one of the pioneers of ‘Information based strategy’ which is essentially what we call today as data science. The world of data science in banking has evolved over time and now data science powers strategies in many diverse areas of a bank, aided by cutting-edge technologies. In this talk, we will go over a glimpse of its past, present and how it is changing banking for good as we move toward the future. In particular, we will also explore how cutting-edge algorithms and technologies are improving customer experiences.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , 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
    Leveraging Entity Resolution to Identify Customers in 3rd Party Data (2020)
    [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: Presented by Kelsey Redman – AVP, Data Science at Comerica Bank Purchasing 3rd party data on individuals can give great insights on customers, but first we have to know which individuals from that outside data source are actually customers and which are just prospects. Without a unique identifier like SSN or Driver’s License number from the 3rd party data, we have to use a combination of name, address, and demographic information to identify the matching customer. Between nicknames, misspelled names and addresses, and family members with similar names all at one address, this quickly becomes a difficult task involving heavy data cleanup and an increasingly complicated series of rules. In this presentation, we demonstrate some techniques to help resolve these entities across data sources by employing the use of supervised classification machine learning techniques to quantify and predict entity “likeness.” We showcase some of the challenges we faced with exploring other entity resolution methods, with manually labeling a comprehensive training set, and how this approach might extend to solve other data issues.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , 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.
  • 11
    Online Resource
    Online Resource
    Real Time, Contextual and Personalized Recommendations (2020)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Dhivya Rajprasad, Data Scientist at Levi Strauss & Co Levi Strauss and Co has always been at the helm of innovation with their classic denims and seasonal takes on the future of denim . We would like to enable users who visit our website, receive our emails and visit our stores to have the most personalized experience with easier product discovery. To enable this, I have built recommendation systems based on live and past user behavior and with minimal infrastructure. The talk features two main areas: 1. How to work with minimal data, implicit feedback and business to build recommender systems that satisfy users needs while keeping in mind overarching business KPIs 2. How to use real stream of events and past indications to give a completely personalized experience that can keep updating based on user interaction with minimal architectural requirements.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , 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.
  • 12
    Online Resource
    Online Resource
    Dark Data & AI Pipelines to Drive Ad Sales & Grow Audiences (2020)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 24 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Paul Barrett - Managing Director, Accenture Applied Intelligence Personalization drives more relevant conversations with advertisers and audiences. The key to personalization is data, algorithms and offers. Algorithms feed off data. The data environment is becoming more competitive and more regulated. AI at scale makes it possible to utilize internal and external data sources that were previously too complicated, too expensive or too big. The Dark Data sources can now be utilized to: • Enhance sales leads to drive better propensity scoring, better targeting and drive better sales interactions • Create a deeper understanding of audiences to create more relevant microsegments for better targeting, messaging and greater engagement. Companies that can master AI at scale can create Real-time Analytical Pipelines turning data science into Ai Enhanced customer interactions. Growing sales, Engagement and other key metrics. This talk will cover how companies are leveraging Dark Data and Ai pipelines to transform analytics into Ai enhanced interactions.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , 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.
  • 13
    Online Resource
    Online Resource
    Who will fight for AI in Healthcare (2020)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 36 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Amy Daali - Chair at IEEE Engineering in Medicine & Biology Society With recent advancements in artificial intelligence, the healthcare industry is primed to benefit significantly from Machine Learning and Deep Learning technologies. This talk will answer the burning question on who is going to fight for AI in healthcare? New concepts such as “DIY healthcare” will be explored. We will discuss key important players who are going to lead the battle and drive AI adoption in 2020. Together, we will navigate the current Health Technology Landscape and uncover the different challenges that are preventing the implementation of AI. We will conclude the talk by exploring how we can improve collaboration between the Data Science and Medical community to speed up AI adoption in healthcare.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , 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.
  • 14
    Online Resource
    Online Resource
    Learning Node Embeddings in Transaction Networks (2020)
    [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 Jesse Barbour – Chief Data Scientist at Q2ebanking Due to the specialized and sophisticated nature of many commercially focused financial products offered by banks and fintechs, building recommender systems around those products is especially difficult. Taking inspiration from the field of neural language modeling, we will discuss an application of learning node embeddings on a large-scale financial transaction graph in order to solve this problem.
    Note: Online resource; Title from title screen (viewed March 24, 2020) , 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.
  • 15
    Online Resource
    Online Resource
    Introducing Azure SQL Database : From Deployment over Migration to Monitoring (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484252765
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 8 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Discover everything you need to know to get started with Azure SQL Database, from deployment, to key features to migration and monitoring! This video introduces Azure SQL Database, a general-purpose relational database-as-a-service (DBaaS). Beginning from a base deployment of an Azure SQL instance, you will be introduced to the cloud-native features of the service and discover how to run highly available and production-ready database back-ends on Azure, without the underlying database server virtual machines. After the base deployment walkthrough, you'll learn how to replicate business-critical databases across multiple regions, as well as how to migrate a database from on-premises or VM-based scenarios to Azure SQL Database. What You Will Learn Understand Azure Database Services and Azure SQL Database Deploy an Azure SQL Database instance Scale Azure SQL Database using elastic pools Migrate a database from on-premises to Azure Troubleshoot Azure SQL Database Who This Video Is For Data professionals who want to learn about migrating, deploying, and monitoring Azure SQL Database. Viewers should have an Azure subscription (trial, MSDN, AzurePass, CSP, EA, pay as you go).
    Note: Online resource; Title from title screen (viewed August 1, 2019)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 16
    Online Resource
    Online Resource
    Database Fundamentals LiveLessons (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 43 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 6+ Hours of Video Instruction Learn the fundamentals of databases. Overview In MTA 98-364 Database Fundamentals LiveLessons , you gain the knowledge required to work with and design relational databases and prepare for Microsoft MTA Exam 98-364. Drawing on his experience as a SQL Server MVP, Eric Johnson guides you from the basic elements of databases, such as tables and indexes, and progresses into the principles of database design and layout. Building on that foundation, you learn how to perform more advanced skills, such as database administration, backup, and security. Topics are organized into easily digestible lessons so you can learn these skills with ease. This video course, along with additional study, helps you achieve the hands-on experience recommended to take the exam and demonstrate your mastery of database fundamentals. Skill Level Beginner Learn How To Understand concepts involved with database storage Perform database normalization Create database objects Manipulate data in databases Secure databases Back up and restore databases Who Should Take This Course Developers and system administrators with no prior experience working with databases Course Requirements Knowledge of Windows operating system IT background with no prior database experience About Pearson Video Training Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que. Topics include IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video. Video Lessons are available for download for offline viewing within the streaming format. Look for the green arrow in each lesson.
    Note: Online resource; Title from title screen (viewed October 4, 2019)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 17
    Online Resource
    Online Resource
    MTA 98-364 : Database Fundamentals LiveLessons (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 44 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 6+ Hours of Video Instruction Learn the fundamentals of databases and prepare for the Microsoft Technology Associate (MTA) exam 98-364: Database Fundamentals. Overview In MTA 98-364 Database Fundamentals LiveLessons , you gain the knowledge required to work with and design relational databases and prepare for Microsoft MTA Exam 98-364. Drawing on his experience as a SQL Server MVP, Eric Johnson guides you from the basic elements of databases, such as tables and indexes, and progresses into the principles of database design and layout. Building on that foundation, you learn how to perform more advanced skills, such as database administration, backup, and security. Topics are organized into easily digestible lessons so you can learn these skills with ease. This video course, along with additional study, helps you achieve the hands-on experience recommended to take the exam and demonstrate your mastery of database fundamentals. Skill Level Beginner Learn How To Understand concepts involved with database storage Perform database normalization Create database objects Manipulate data in databases Secure databases Back up and restore databases Who Should Take This Course Developers and system administrators with no prior experience working with databases Course Requirements Knowledge of Windows operating system IT background with no prior database experience About Pearson Video Training Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que. Topics include IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video. Video Lessons are available for download for offline viewing within the streaming format. Look for the green arrow in each lesson.
    Note: Online resource; Title from title screen (viewed October 4, 2019)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 18
    Online Resource
    Online Resource
    Unity Game Development in 4 hours (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838551520
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get up and running with the world’s leading game engine. About This Video Learn one of the most popular tools in the industry and develop a 3D game in only 7 days, without any prior knowledge of game development. Learn game-development best practices with relevant and practical examples. Create an interesting 3D game using Unity 2019 for free, with only a few lines of code. In Detail Curious about game development but afraid to get into it because it seems too hard? Fear no more! With this course, you will learn how to develop games with one of the most popular engines in the industry. You will learn only relevant and practical information, and appreciate how it applies to the real world. By the end of this course, you will have a full-scale 3D game, similar to indie favorites such as Dear Esther, Amnesia, and Gone Home. In only 4 hours, you will become an indie developer! 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/Unity-Game-Development-in-4-hours . If you require support please email: customercarepackt.com
    Note: Online resource; Title from title screen (viewed April 22, 2019)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 19
    Online Resource
    Online Resource
    T-SQL Data Manipulation : Inserting, Updating, Deleting, and Merging in SQL Server (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    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
    MPI Ethno. Forsch.
  • 20
    Online Resource
    Online Resource
    Using Redux with React LiveLessons Video Training (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 5+ Hours of Video Instruction Web applications of today are becoming increasingly more complex. Our apps commonly need to request data from various sources and handle rich user interactions, which can become difficult to keep track of as our apps scale. Luckily, if you are using the React framework, there are many ways to solve these problems. React has emerged as the industry standard for JavaScript frameworks. With more than 3 million weekly downloads from the NPM package manager—and heavy usage by leading companies such as Google, Microsoft, Netflix, Twitter and so many more—React is a leading framework. Learn how to unlock the power of React with the Redux library to provide creative solutions and highly flexible web components. In larger applications, many developers and teams lean on Flux-style architectures, such as those implemented by the Redux library, which have proven to be highly scalable and easily testable. Instructor Dave Lunny covers how you can develop successful web applications with these powerful technologies. Description In this 5 hour LiveLesson, Dave Lunny provides a deep dive into the concepts behind Flux-based architectures like Redux, showing how to use unidirectional data patterns to help simplify your web applications. Lunny uses a mix of screen casting, slides, and personal narrative to cover modern development patterns, demonstrating how to solve state management issues that can arise—such as higher-order components, render props, and context. Skill Level Beginning-Intermediate What You Will Learn How to simplify the way data flows through applications A full understanding of the concepts behind Flux-style architecture and how to think in Redux Exciting concepts to help make components more flexible A keen understanding of the overarching concept behind Redux and how the library fits into a modern front-end JavaScript stack How to use Redux with React Advanced React patterns, such as higher-order components, render props, and the Context API Who Should Take This Course Web Developers Javascript developers Course Requirements Pre-requisites: A working knowledge of modern JavaScript (ES6+), as well as some basic CSS/HTML knowledge. Understanding of common web development best practices, specifically the benefits of building reusable UI components. Intermediate knowledge of the React JavaScript framework. About Pearson Video Training Pearson publishes expert-led video tutorials covering a wide selection of technolo...
    Note: Online resource; Title from title screen (viewed April 18, 2019)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 21
    Online Resource
    Online Resource
    Spotlight on Learning from Failure : Creating Better Data Pipelines with Natalino Busa (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: When considering the complexities of implementing a next-generation data pipeline, the risk of over-promising and under-delivering is incredibly high due to the overwhelming expectations placed on predictive analytics today. It’s critical to look at a number of factors—like your company’s culture and the historic promise gap between ETL (extract, transform, load) in the 1970s and AI (artificial intelligence) in the 2010s—to overcome the challenges and succeed. Natalino Busa discusses how to bust the myths, deconstruct the false assumptions, and avoid common pitfalls in order to build and deliver successful data pipelines that deliver real value to your organization. Recorded on February 26, 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 Learning from Failure , you’ll discover the lessons learned from failures both large and small. You’ll discover how successful companies have addressed setbacks, missteps, and challenges and how you can grow from their examples.
    Note: Online resource; Title from title screen (viewed August 27, 2019)
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    Spotlight on Learning from Failure : Assessing Talent Beyond Technical Skills with Tony Tjan (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: One of the most difficult business challenges has nothing to do with data or technology—it has to do with people. While it’s fairly easy to assess potential hires’ knowledge and skills, it’s much harder to gauge soft traits like attitude. How can you ensure your first impressions are accurate so you can avoid costly hiring mistakes, and correctly identify rising stars and make the most of their talent? Tony Tjan explains how overlooking personality and attitude in favor of technical expertise can cost you. Make sure you’re never in that situation by learning the most important questions to ask during the hiring process to build a stronger, more successful organization. Recorded on March 26, 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 Learning from Failure , you’ll discover the lessons learned from failures both large and small. You’ll discover how successful companies have addressed setbacks, missteps, and challenges and how you can grow from their examples.
    Note: Online resource; Title from title screen (viewed August 27, 2019)
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    Red Hat Certified Engineer (RHCE) EX294 : Red Hat Ansible Automation (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 hr., 45 min.)
    Edition: 3rd edition
    Keywords: Electronic videos ; local
    Abstract: 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. 10+ Hours of Video Instruction Description Red Hat Certified Engineer (RHCE) EX294 Complete Video Course, 3/e: Red Hat Ansible Automation provides a solid understanding of all the topics required to pass the RHCE exam, including how to perform common automation tasks using Ansible and management of a Linux environment Overview Red Hat Certified Engineer (RHCE) EX294 Complete Video Course, 3/e: Red Hat Ansible Automation is all new and fully updated. This 10-hour video course provides a solid understanding of all the topics required to pass the RHCE exam and includes live demos, exam question walk-throughs and dynamic lightboard teaching. The student learns how to perform common automation tasks using Ansible as well as how to use common Ansible components to automate the management of a Linux environment. RHCE EX294 Complete Video Course covers all facets of the newly-updated RHCE exam. Instructor Sander van Vugt walks you through the topics using demos and labs to test the student's knowledge with real world scenarios. Each video lesson ends with a lab that provides an exercise so you can test your skills. Sander then provides a detailed solution to each lab, explaining how to solve for the exam objectives so you can get the experience you need to pass the test. Audio instruction throughout offers detailed explanations, tips, and configuration verifications. This engaging self-paced video training solution provides learners with more than 10 hours of video instruction from an expert trainer with more than 20 years of practical Linux teaching experience. Through the use of topic-focused instructional videos, you will gain an in-depth understanding of all topics on the Red Hat Certified Engineer (RHCE) exam, as well as a deeper understanding of Red Hat Enterprise Linux and Ansible. The combination of video, labs, and practice exams provides a unique offering that gives you a full toolkit to learn and excel on your exam. Topics include: Module 1: Introduction to Ansible Module 2: Using Advanced Ansible Solutions Module 3: Managing Systems with Ansible Module 4: Sample Exam About the Instructor Sander van Vugt has been teaching Linux classes sinc...
    Note: Online resource; Title from title screen (viewed September 27, 2019)
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    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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    Learn Modern OpenGL Programming (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838829780
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 hr., 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Create your own 3D graphics with OpenGL and C++ About This Video Learn to set up an OpenGL window using GLFW and the OpenGL API Grasp the technique of programming with modern OpenGL In Detail With this interactive course, you can now take your first step toward learning modern OpenGL programming. You’ll go through a brief history of OpenGL, which will help you understand why it’s important to explore modern OpenGL with its programmable rendering pipeline over the fixed function pipeline. The course will start by taking you through the basics of getting OpenGL running in a window using the Graphics Library Framework (GLFW). Next, you’ll gain insights into rendering polygons to the display by sending buffers of data to the computer graphics card and programming it using shaders with the GLSL shading language. Later, you’ll learn how to map textures to your objects. The course will also help you set up a virtual camera using keyboard and mouse inputs to enable you to move around in the scene. After you have the fundamentals working, you can go on to building more complex elements. You’ll learn how to load 3D models and add impactful lighting to the scene. With each lesson, you’ll build the framework with reusable C++ and OpenGL code. You’ll start with a blank project and write code each step of the way, with every lesson building on the last. The easy-to-follow approach of this course makes it a suitable option even if you’ve never explored OpenGL. Using the source code, prebuilt third-party libraries, and Visual Studio solutions included in this course, you’ll be able to successfully start with building your own game engine. By the end of this course, you’ll have learned how to set up and render in 3D with modern OpenGL. 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/Learn-Modern-OpenGL-Programming . If you require support please email: customercarepackt.com
    Note: Online resource; Title from title screen (viewed April 25, 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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    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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    CompTIA Linux+ XK0-004, 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 20 hr., 42 min.)
    Edition: 1st edition
    Keywords: Linux Study guides Examinations ; Electronic data processing personnel Study guides Certification ; Electronic videos ; local ; Linux ; Electronic data processing personnel ; Certification ; Examinations ; examination study guides ; Study guides ; Study guides ; Guides de l'étudiant
    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. 20+ Hours of Video Instruction Description CompTIA Linux+ has more than 20 hours of comprehensive video training so you have everything you need to prepare for the CompTIA Linux+ exam and also build a strong understanding of working with Linux. This title includes a copy of Linux Fundamentals LiveLessons. Overview CompTIA Linux+ Complete Video Course has more than 20 hours of comprehensive video training covering all of the objectives on the CompTIA Linux+ exam. Expert author and trainer Sander van Vugt will walk you first through Linux basics with 10 hours of essential concepts in his Linux Fundamentals LiveLessons title. You will then get a deep dive into core Linux topics. This thorough and engaging training provides whiteboard concept teaching, live CLI work, screencast teaching, and hands-on labs, so you have everything you need to study for - and pass - the CompTIA Linux+ exam. To offer this course in the way that is most efficient for you, the contents have been developed to build upon your existing knowledge of Linux. You will start with Linux Fundamentals LiveLessons, a full video course on Linux basics, concepts, practices, and theories so you can get the foundational knowledge you need. You will then dive into the core part of the CompTIA Linux+ exam, including advanced user settings, storage management, managing server roles, and both common and advanced system administration tasks. Each lesson ends with a lab so you can practice your own skills as you complete the course. The labs are built so you first have the opportunity to walk through a task on your own. Each lab is then followed by a Lab Solution, where the author walks you through the most efficient way to complete the lab. This accessible self-paced video training solution provides learners with more than 20 hours of personal visual instruction from an expert trainer with more than 20 years of practical Linux teaching experience. Through the use of topic-focused instructional videos you will gain an in-depth understanding of all topics on the CompTIA Linux+ exam, as well as a deeper understanding of Linux. The combination of video and labs is a unique offering...
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    Certified Blockchain Developer--Hyperledger Fabric (CBDH) (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 hr., 38 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 7+ Hours of Video Instruction Overview More than 7 hours of video instruction to prepare you to pass the Certified Blockchain Developer—Hyperledger Fabric (CBDH) exam and develop your skills in the emerging and in-demand blockchain arena. Overview In Certified Blockchain Developer—Hyperledger Fabric (CBDH) Complete Video Course , seasoned IT veteran and current blockchain subject matter expert, Joseph Holbrook, provides an in-depth exploration of developing blockchain solutions, which are quickly becoming the de facto, decentralized method for verifying and tracking cryptocurrency and other digital transactions. While the primary objective of this LiveLessons video course is to provide you with all of the information you need to prepare for and pass the Blockchain Training Alliance CBDH exam, the course also delves into planning and preparing production-ready applications for the Hyperledger blockchain; learning how to work effectively with blockchain engineers and technical leaders; select appropriate Hyperledger blockchain systems for various use cases; and write, test, and deploy secure chain code. Whether you are seeking to gain the CBDH certification or simply looking to enhance your blockchain development skills, Joseph Holbrook’s instruction through deep-dive discussion, whiteboarding analysis, and practical demos will ensure that you boost your confidence and skills in working with this burgeoning disruptor approach to digital transactions. The Certified Blockchain Solution Architect (CBDH) exam is an elite way to demonstrate your knowledge and skills in this emerging space. Additionally, you will become a member of a community of Blockchain leaders. About the Instructor Joe Holbrook has been in the IT field since 1993 when he was exposed to several HPUX systems on board a US Navy flagship. He has migrated from UNIX world to Storage Area Networking (SAN) and Enterprise Virtualization and Cloud Architectures and now specializing in Blockchain and Cryptocurrency. He previously worked for numerous companies like HDS, 3PAR, Brocade, HP, EMC, Northrup Grumman, ViON, Ibasis.net, Chematch.com, SAIC and Siemens Nixdorf. He also has been a published course author on Linkedin Learning, Udemy.com, INE.com and Pearson Safari. He is also author of a new book due to be released in early 2019 on “Architecting Enterprise Blockchain Solutions” Currently he is a recognized industry expert specializing in Enterprise Cloud and Blockchain Technologies. He...
    Note: Online resource; Title from title screen (viewed January 28, 2019)
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    Artificial Intelligence Conference 2019 - Beijing, China (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: A unique keynote speech by Yangqing Jia, the leader of Alibaba’s AI and Big Data organization. A revealing talk by Ion Stoica (UC Berkeley) describing some the AI projects underway at UC Berekely's renowned RISELab. A thoughtful presentation by Long Wang, VP of TenCent Cloud, illustrating what TenCent believes AI will do for the cloud. These are just three of the illuminating talks given by the many AI experts from China, the U.S., and elsewhere who gathered to speak at O'Reilly Media's Artificial Intelligence Conference Beijing June 2019. This video compilation gives you the opportunity to see all of the best presentations from AI Beijing—it contains more than 60 hours of material to review on your schedule. AI Beijing's unique focus is applied AI—bridging the gap between AI developments in research and their commercial applications in business and industry. If you want to understand how AI will change the business landscape, or are working with deep learning or AI (or plan to be)— this video compilation is for you. Highlights include: Complete video recordings from the best of AI Beijing June 2019—this video compilation contains hours of material to review at your own schedule. 55% of the presentations are in English, 42% are in Chinese, and 3% are in English and Chinese. Keynote speeches by AI thought leaders such as Maria Zhang (LinkedIn), Pete Warden (Google Brain Team), Michael James (Cerebras), Hao Zheng (PlusAI), and Tim Kraska (MIT). Tutorials in Chinese, including Intels' Zhen Zhao's exploration into the OpenVINO toolkit and Microsoft's Henry Zeng, Lu Zhang, and Xiao Zhang's introduction to automated machine learning using Python and AutoML. Tutorials in English, such as Alejandro Saucedo's (The Institute for Ethical AI & Machine Learning) practical guide to de-mystifying machine learning bias and Richard Liaw (UC Berkeley RISELab) on how to build reinforcement learning models and AI applications with Ray. "Implementing AI" sessions presented in Chinese, such as Zhenxiao Luo (Uber) on how to run big data and machine learning systems at scale; Hui Xue (Microsoft) on the latest automated machine learning advances at Microsoft Research Asia; and Guoqiong Song (Intel) and Luyang Wang (Office Depot) on how Home Depot's real-time recommendation system was built using Analytics Zoo on BigDL and Apache Spark "Implementing AI sessions" delivered in English, including Google's Kaz Sato's examination of ML operations and Kubeflow pipelines; Rak...
    Note: Online resource; Title from title screen (viewed June 28, 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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    Turn devices into data scientists—at the edge (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 36 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Today’s approach to processing streaming data is based on legacy big-data centric architectures, the cloud, and the assumption that organizations have access to data scientists to make sense of it all—leaving organizations increasingly overwhelmed. Simon Crosby (SWIM.AI) shares a new architecture for edge intelligence that turns this thinking on its head. Edge intelligence (encompassing analytics, learning and prediction, and edge computing) can frequently be accomplished on the fly on streaming data, cheaply, at the edge, without data scientists. Simon demonstrates how you can save up to $5,000 a month in cloud processing and storage costs while delivering accurate predictions that can transform outcomes, using well-established architectural pillars, such as the distributed actor model, to process voluminous real-time data at the edge, along with the rich commons of open source analytics and learning tools like Flink and Spark, on nothing more than a $200 device such as an NVIDIA Jetson. The key insight is to use streaming data to build a digital twin model on the fly at the edge, avoiding a ton of complexity and infrastructure costs. Instead, a user defines the entities in their environment (e.g., traffic intersections, compressors, or assembly robots) that deliver data. Using the stateful distributed actor model, you can dynamically build a digital twin (actor) model of the real-world from the data, linking twins based on their relationships. Each digital twin reduces, labels, and analyzes its data and self-trains a machine learning model to predict future performance, at the edge, discarding the original data. This method needs only a tiny fraction of the resources of a big data solution and delivers results in real time. As a result, it bypasses the dev, ops, and data science challenges of edge intelligence, effectively turning devices into data scientists—or at least, building data science twins for entities in the real world. This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
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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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    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.
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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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    Spotlight on Cloud : The Hidden Costs of Kubernetes with Bridget Lane (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: If you’re considering Kubernetes, you’ve probably thought about the potential time and cost savings you could stand to gain. At Gannett and USA TODAY, migrating to Kubernetes cut their daily infrastructure spend in half and reduced their network failover time from almost four hours to about 10 minutes. These are huge savings for any company. That said, there were a number of costs to migrating that they didn't anticipate. Gannett’s migration to Kubernetes had a ripple effect through its entire stack—from its CI pipelines to its approach to monitoring and even employee happiness. In this case study, Bridget Lane, Gannett’s manager of developer solutions, details the problems her team faced while migrating and explain how they dealt with them. Recorded on September 19, 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 October 4, 2019)
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    Python for Data Science Complete Video Course (Video Training) (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 39 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 9+ Hours of Video Instruction While there are resources for Data Science and resources for Machine Learning, there's a distinct gap in resources for the precursor course to Data Science and Machine Learning. This complete video course fills that gap--it is specifically designed to prepare students to learn how to program for Data Science and Machine Learning with Python. This is the antidote to the over-complicated universe of these hot new, growing technologies. With this course, students will learn the fundamentals of Python and get prepared specifically for Data Science. Noah Gift and Kennedy Behrman take students with zero programming background through enough Python to prepare them for their Data Science curriculum. Companies are looking for developers who can create insight-driven systems, as they are now becoming critical to business success. Very few professionals are adequately trained to handle both large-scale software engineering and Machine Learning/AI. This is an emerging field, and we are developing the training to meet this need in the marketplace. Description Notebook-based Data Science programming in Python is the emerging standard but there is a dearth of quality training material available for beginners. This 9-hour video provides foundational training on the Python language for the novice or beginner programmer looking to start in the Data Science field. The video serves as the 100-level course for a Data Science undergraduate or graduate program. The course has been designed around Colab notebook-based learning. Students would be able to run every exercise shown in the videos. The material focuses on a smaller, easier subset of Python that is needed just for Data Science coding. Skill Level Beginner What You Will Learn Learn Google Colab notebook Data Science programming Learn the essential subset of Python used in Data Science Learn to manipulate data using popular Python libraries such as pandas and numpy Learn to apply Python Data Science recipes to real-world projects Learn functional programming fundamentals unique to Data Science Who Should Take This Course Complete beginners to programming Statisticians and Analysts in the data industry looking to use Python for Data Science Sales, Product Managers, Data Analysts, Marketing who want to perform Data Science Software Engineers looking to level up into Data Science and Machine Learning tracks Students enrolled in a Data Science program Course Requirements General comp...
    Note: Online resource; Title from title screen (viewed April 2, 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 Software Architecture Conference 2019 - Berlin, Germany (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 49 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. Thousands of software architects, aspiring software architects, senior developers, system leads, tech leads, software engineers, data architects, and tech team managers came together at O’Reilly Media’s Software Architecture Conference Berlin 2019 to learn how to design, build, and improve the architectures that are the foundation of all modern software systems. Who did the attendees learn from? They learned from experts like senior software architect Carola Lilienthal (Workplace Solutions), a 30-year software engineering vet, who broke down the causes and costs of technical debt and then outlined the ways to eliminate it. And they learned from site reliability expert Jibby Ayo-Ani (Welkin) as she described Google’s BeyondCorp, a new enterprise security model in cloud computing that every software architect needs to understand. These speakers and gave SACON Berlin 2019’s attendees what they hoped to receive: The knowledge and insights required to become the best software architects they could be. Get this video compilation of SACON Berlin 2019 and you’ll gain the opportunity to increase your skill set and move forward in your software architecture career. Highlights include: Complete video coverage of SACON Berlin 2019’s best keynotes, tutorials, and technical sessions—this compilation contains hours of SACON talks to study and absorb at your own pace and schedule. Keynote addresses from software architecture’s most incisive thinkers, including Bosatsu Consulting President Brian Sletten, ThoughtWorks principal technology consultant Zhamak Dehghani, and the Cloud Native Computing Foundation’s Director of Ecosystem, Cheryl Hung. Hands-on tutorials covering subjects like reusable information architecture; event storming for domain-driven design modeling; and building, specifying, and testing APIs with microservices. Application Architecture sessions, including Patrick Kua (Chief Scientist, N26) on scaling out architectural decision-making during rapid growth; Vladik Khononov (Chief Architect, Naxex) on DDD’s most common mistakes; and Paddy Fagan (Chief Architect, IBM Watson Care Manager) on implementing continuous architectural refactoring in a SaaS offering. Distributed Systems sessions, such as on the need for autonomous APIs in a landscape of impossibly complex distribu...
    Note: Online resource; Title from title screen (viewed November 6, 2019)
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    Oracle Cloud User Security : Providing for Separation of Duties and Appropriate Access by Job Function (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484255643
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 3 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Enhance the security of your Oracle cloud environment by providing users appropriate access for their respective job functions, and by providing for separation of duties such that no single user has enough access by which to exceed their level of authority. See how to think through and plan for the access requirements of technical experts such as cloud administrators and database administrators through to business-level users such as those accessing cloud applications and databases. Make use of your own enterprise identity management system, or use Oracle Identity Cloud Service. The video begins by showing how to create a plan based on enterprise roles for managing the database environment in the cloud. This plan includes a component on separation of duties. The video goes on to show how to create groups from the plan, and how to create users and assign users to groups. There are default groups and custom groups, so the video will cover creating and managing custom groups as well as the default ones. Connections to cloud services and databases are tested as a final step to verify the users and groups that have been created. What You Will Learn Design a role-based plan for managing users in the Oracle Cloud Create users in the Oracle Cloud for services and databases Manage roles and groups Manage single-sign-on in Oracle Identity Cloud Service Create customized groups through Oracle Identity Cloud Service Test to ensure users can connect to the cloud service and database server Verify user groups by showing that the right roles have been assigned Who This Video Is For Database administrators who are just starting to use Oracle’s cloud services, or who are getting ready to migrate to the Oracle cloud. For security administrators who want to learn best practices related to separation of duties and for centrally managing cloud users.
    Note: Online resource; Title from title screen (viewed October 25, 2019)
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    ML at Twitter : A deep dive into Twitter's timeline (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 41 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Machine learning has allowed Twitter to drive engagement, promote healthier conversations, and deliver catered advertisements. Cibele Montez Halasz and Satanjeev Banerjee describe one of those use cases: timeline ranking. They share some of the optimizations that the team has made—from modeling to infrastructure—in order to have models that are both expressive and efficient. You’ll explore the feature pipeline, modeling decisions, platform improvements, hyperparameter tuning, and architecture (alongside discretization and isotonic calibration) as well as some of the challenges Twitter faced by working with heavily text-based (sparse) data and some of the improvements the team made in its TensorFlow-based platform to deal with these use cases. Join in to gain a holistic view of one of Twitter’s most prominent machine learning use cases. 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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    Machine Learning with PyTorch (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 49 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. 6+ Hours of Video Instruction Description Learn the main concepts and techniques used in modern machine learning and deep neural networks through numerous examples written in PyTorch. Overview This course begins with the basic concepts of machine and deep learning. Subsequently, you gain a reasonable familiarity with the main features of PyTorch and learn how it can be applied to some popular problem domains. About the Instructor David Mertz has been involved with the Python community for 20 years, with data science (under various earlier 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; the book 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 Apply various machine and deep learning techniques Understand the difference between various machine and deep learning libraries Create classifiers Enhance an existing classifier Who Should Take This Course Programmers and statisticians interested in using Python and the PyTorch library to implement machine learning Course Requirements Programming experience Lesson Descriptions Lesson 1: What Is Machine Learning? What Is Deep Learning The first lesson begins with a high-level overview of the course. It then presents general concepts in machine learning and concepts specifically relevant to neural networks and deep learning. Ideas every data scientist should understand are discussed. The main libraries available for machine learning, and for deep learning specifically, are presented with an eye toward their comparison to PyTorch. The lesson contains an overview of basic concepts in neural networks. Also discussed is the basic idea of a perceptron and the enormous expansion of simple models with hardware that has b...
    Note: Online resource; Title from title screen (viewed November 11, 2019)
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    Kubernetes APIs under the hood (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    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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    How to build privacy and security into deep learning models (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    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
    Details
    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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    Everything is a little bit broken; or, The illusion of control (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 38 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: We never change the amount of work or technical debt; we just shift it, and with it, we change how it emerges and appears. Our systems don’t have to be perfect to be operational—planes, networks, and elite athletes all function at extremely high levels even though they are not operating at 100%. As an industry, we have moved the locus of control from hardware to operating system to virtual machine to container to orchestration, and now we’re approaching serverless. None of that has reduced the amount of work you have to do; it just makes it so you can reuse and conceptually compress the work of others. Since we’re making the work in our tools less visible, we also have less control over how they work. We assume the promises that have been true will continue to be true, but that isn’t in our control. Heidi Waterhouse (LaunchDarkly) explains how to handle this level of uncertainty. You’ll learn to add in error budgets, layered access, and other accommodations for failure and to design your systems for function over form or purity. You’ll leave with some concrete ideas about how to add resiliency to your system by learning to trust but mitigate your reliance on perfect performance of your underlying tools. 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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    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
    Details
    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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    Disrupting data discovery (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: Before any analysis can begin, a data scientist needs to discover the right data sources to analyze, understand them, and determine whether they can trust them. Unfortunately, data discovery is very inefficient today. Countless hours are lost trying to find the right data to use. (The most common way still remains to ask a coworker.) Gaining trust in data requires running a bunch of queries (max timestamp, counts per day, count distincts, etc.) that waste time and add unnecessary load on the databases. There’s no clear way to know how to find folks to answer questions about the table. And worst of all, many times analysis is redone and models are rebuilt because previous work isn’t discoverable. Lyft has reduced the time it takes to discover data by 10x by building its own data portal, Amundsen. Amundsen is built on three key pillars: an augmented data graph, an intuitive user experience, and centralized metadata. Amundsen uses a graph database under the hood to store relationships between various data assets (tables, dashboards, protobuf events, etc.). What’s unique to Amundsen is that it treats people as a first-class data asset; in other words, there’s a graph node for each person in the organization that connects to other nodes (like tables, and dashboards). In addition, Amundsen runs PageRank using data from access logs to power search ranking, similar to how Google ranks web pages on the internet. Finally, Amundsen gathers metadata from various different sources (Hive, Presto, Airflow, etc.) and exposes it in one central place. The right place to store all this metadata is a work in progress. Mark Grover and Tao Feng (Lyft) offer a demo of Amundsen and lead a deep dive into its architecture, covering how it leverages centralized metadata, page rank, and a comprehensive data graph to achieve its goal. They also explore the future roadmap, unsolved problems, and its collaboration model. 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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    Deploying and Migrating to Azure Web Apps : Optimizing Web Server Workloads (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    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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    Cloud native data pipelines with Apache Kafka (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 microservices, data services, and serverless APIs proliferate in a cloud native world, analysts still need to report on the business as a whole. Data engineers need to collect and standardize data in an increasingly complex and diverse system. Luckily, the problem is also the solution. The way to manage data in a cloud native environment is to build cloud native data pipelines. Gwen Shapira (Confluent) discusses how data engineering requirements have changed in a cloud native world and how the solutions have changed with them. She then shares architectural patterns that are commonly used to build cloud native data infrastructure and explains how they help you build flexible, scalable, and reliable pipelines to give your business visibility on all 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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    Choreographing microservices (NY) (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    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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    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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    Beyond accidental architecture (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 18 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Software systems always express some form of architecture. Many times those architectures reflect the mere circumstances and microtrends prevailing at various times. But long-term success doesn’t happen by accident. When approached deliberately, software architecture and design can produce benefits for teams in a variety of ways. James Thompson (Cingo Solutions) demonstrates how to assess approaches and make decisions based on what matters to your team and your projects by answering the following guiding questions: What is software architecture? What decisions are architectural? How do you discuss software architecture? How do you document architectural decisions? How do you encourage continued learning? These questions give you a framework for thinking about how to do software architecture in a collaborative way. Software development is a collaborative effort, and software architecture should be also. Software architecture is something that every developer should be equipped and empowered to engage with—leading to a more collaborative way of developing and maintaining your software 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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    AWS Certified Developer (Associate) (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 14 hr., 46 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 14+ Hours of Video One Line Sell More than 14 hours of video instruction preparing the viewer for the AWS Associate Level Certified Developer exam by discussing and demonstrating the services included in the published blueprint of the exam, including AWS CLI & SDK, IAM, VPC, EC2, Route53 DNS, S3, DynamoDB, etc. Overview This course, “AWS Certified Developer Complete Video Course” focuses on the role-based certification, AWS Developer Associate. According to Amazon, “this exam validates proficiency in developing, deploying, and debugging cloud-based applications using AWS.” Amazon Web Services currently has over 130 individual services available for use. Each service falls into an overarching category such as compute, storage, database, networking, etc. The AWS Developer Associate focuses on those services and concepts relevant to developers using, or intending to use, AWS services to create their applications. This course covers the published blueprint for the Associate level Certified Developer exam. It’s important to note that this course is not intended to teach you to how program or develop applications. The goal is to help you understand the services that are available to run the applications you develop through live demonstration. Each lesson begins with a walk-through to provide an overview of the topic and then goes into demonstration mode. The majority of the demonstrations in this course are accomplished with a free AWS Trial Account so you can follow along. This course takes a lab-based approach to teaching you, which means we will focus on how to develop throughout the training so you can get some hands-on experience working in AWS. You will also learn about the objectives in the exam, but the emphasis is on doing so you can gain the experience needed to actually develop in AWS as well as pass the test. Each lesson has a lab-based exercise that walks you through concepts and also allows you to dive into a project. Lab files are included as downloads with the course so you can work alongside the author and work on projects." Nick Garner has co-founded an IoT company that runs entirely on AWS infrastructure that he manages. He has certifications in AWS, CEH, CISSP and 2 CCIEs (routing/switching and security). He works with Amazon Web Services design on a daily basis, particularly with respect to extending enterprise services into cloud service providers such as Amazon AWS, Microsoft Azure, and Google Compute. Topics include: Module ...
    Note: Online resource; Title from title screen (viewed January 9, 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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    Privacy and Algorithmic Fairness (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Manojit Nand – Senior Data Scientist at JPMorgan Chase & Co. Understanding how algorithms can reinforce societal biases has become an important topic in data science. Recent work for auditing models for fairness often requires access to potentially sensitive demographic information, placing algorithmic fairness in conflict with individual privacy. For example, gender recognition technology struggles to recognize the gender of transgender individuals. To develop more accurate models, we require information that could “out” these individuals, putting their social, psychological, and physical safety at risk. We will discuss social science perspectives on privacy and how these paradigms can be incorporated into statistical measures of anonymity. I will emphasize the importance of ensuring safety and privacy of all individuals represented in our data, even at the cost of model fairness.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    Improving the Worlds Largest Online Grocery Catalog : A Data Science Story (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Ishant Nayer, Sr Data Scientist at Instacart Being a data-driven company, Instacart realizes the power of good quality data. While trying to maximize the efficiency of data consumption by all work streams such as recommendation systems and availability systems, we are trying to make our Catalog the best in the world by delivering precise information to all our end-users including shoppers and consumers. This session will cover the following areas: 1. How we used data science to auto-detect inconsistencies in the data attributes of millions of items comprising the Catalog, in real-time. 2. How we defined and utilized North Star metrics to optimize data quality of our Catalog 3. Different approaches being used to deliver a great customer experience.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    AI and the Index Management Problem (2019)
    [Erscheinungsort nicht ermittelbar] : Data Science Salon | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Presented by Douglas Hamilton – Chief Data Scientist, NASDAQ’s Machine Intelligence Lab Over the last decade, hundreds of billions of dollars of capital have retreated from active to passive management, driven in part by investors seeking lower management fees. With this we have seen rapid growth in the index and exchange traded fund space, leading to the development of several distinct classes. At least one of these classes, Smart Beta, is ripe for AI augmentation. We outline the unique challenges of index management and discuss the application of Information Theory, Machine Learning, and Optimization in solving those challenges.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    AI and ML for the Data Quality of Clinical Trial Studies (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 Hemalatha B Raju – Lead Data Scientist at Biorasi Running a clinical trial is always very complex. But with the implementation of machine learning we can significantly improve the efficiency of clinical trial development. Machine learning logic and algorithms can help us advance the patient selection process for clinical trials, improve the data quality, reduce the time and cost in the execution of clinical trials. for accurate predictions of outcomes using pattern recognition. Machine learning algorithms could be potentially applied to develop comprehensive risk-based monitoring tools, fraud detection pipeline, on-study analytics models and solutions for various clinical trials that alerts the clinical monitors and the pharmaceutical companies about the quality of clinical sites . Clinical data can also be reviewed at aggregate level regularly throughout assigned studies using analytical reporting tools to support the identification of risks and data trends. The rules-based logic could be used throughout the clinical trial studies to analyze the primary and secondary endpoints, required for the safety and efficacy analysis of the investigational drug and thus improve the efficiency of clinical trial studies.
    Note: Online resource; Title from title screen (viewed September 10, 2019) , Mode of access: World Wide Web.
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    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)
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    Spotlight on Learning from Failure : Data Ethics Is Good Business with Heather Krause (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: Ethical lapses aren’t just embarrassing and expensive—they can put your organization at serious risk in a number of ways and damage its reputation and bottom line. If you collect any kind of data, you’re more vulnerable to ethical errors than you may realize. From acquisition and model-building to algorithms, it’s critical to view all aspects of data science through an ethical lens and implement best practices to ensure accuracy. We need only look to some very public failures as proof. Learn about three cases when data ethics mistakes cost companies both money and trust—and how your business can avoid their mistakes. Recorded on January 29, 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 Learning from Failure , you’ll discover the lessons learned from failures both large and small. You’ll discover how successful companies have addressed setbacks, missteps, and challenges and how you can grow from their examples.
    Note: Online resource; Title from title screen (viewed August 27, 2019)
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    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)
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    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)
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    Python Fundamentals (2019)
    [Erscheinungsort nicht ermittelbar] : Prentice Hall | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 44 hr., 42 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. 31+ hours of video instruction . Overview The professional programmer’s Deitel® video guide to Python development with the powerful IPython and Jupyter Notebooks platforms. Description Python Fundamentals LiveLessons with Paul Deitel is a code-oriented presentation of Python—one of the world’s most popular and fastest growing languages. In the context of scores of real-world code examples ranging from individual snippets to complete scripts, Paul will demonstrate coding with the interactive IPython interpreter and Jupyter Notebooks. You’ll quickly become familiar with the Python language, its popular programming idioms, key Python Standard Library modules and several popular open-source libraries. In the Intro to Data Science videos, Paul lays the groundwork for later lessons in which he’ll introduce some of today’s most compelling, leading-edge computing technologies, including natural language processing, data mining Twitter® for sentiment analysis, cognitive computing with IBM® Watson™, supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and convolutional neural networks, sentiment analysis through deep learning with recurrent neural networks, big data with Hadoop®, Spark™ streaming, NoSQL databases and the Internet of Things. Download the code examples for this LiveLesson from https://github.com/pdeitel/PythonFundamentalsLiveLessons . This repository will be updated with the additional lessons’ examples as the lessons are completed. About the Instructor Paul J. Deitel , CEO and Chief Technical Officer of Deitel & Associates, Inc., is a graduate of MIT, where he studied Information Technology. He holds the Sun (now Oracle) Certified Java Programmer and Certified Java Developer certifications, and is an Oracle Java Champion. Through Deitel & Associates, Inc., he has delivered Java, C#, Visual Basic, C++, C and Internet programming courses to industry clients, including Cisco, IBM, Sun Micro systems, Dell, Siemens, Lucent Technologies, Fidelity, NASA at the Kennedy Space Center, the National Severe Storm Laboratory, White Sands Missile ...
    Note: Online resource; Title from title screen (viewed August 26, 2019)
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    Power BI Data Visualization with Purpose : Communicating through Color, Shape, and Layout (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484250815
    Language: English
    Pages: 1 online resource (1 video file, approximately 48 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: This video explains how to create Power BI visuals that provide a good user experience. The video begins by explaining how the common mindset around data visualization is often wrong, and then it suggests a better approach. Report developers are often tempted to make visualizations all about them to show off the data gathered or their report design skills, but reports should be focused on communicating and interacting with the intended audience. This video provides you with practices and guidance toward communicating the right message to your audience without clutter and distraction. Once mindset and goals have been properly aligned, the video discusses the visual tools you have at your disposal when formatting a Power BI visual. These tools include color, shape, and layout. Misapplying these tools can make a visual distracting, ugly, or even misleading. Applying them correctly can make a visual pop and help to communicate the right message, which is the message you are working so hard to get across. Accessibility in report design is also discussed. Demos show how changing seemingly simple attributes on visuals can greatly improve accessibility. Common visualization mistakes are shown, along with examples of how to fix them. In addition to formatting individual visuals, the video discusses how to put them together on a report page to form a coherent analysis. After making an initial draft, it’s time to do a quality check on the report. This video covers what attributes to check and discusses tools to help with your quality checks. Tips are provided on helpful features in Power BI that make good design easier, such as use of report themes and templates, and setting the default visual interaction style. The video will show how to iterate on a report design to improve it based upon findings in the quality checks. The video ends by reviewing the starting point of a report that needed optimization and comparing that to the result after some improvements to see the effect on the user experience. What You Will Learn Take a goals-oriented approach to creating charts and graphs in Power BI Combine color, shape, and layout to create a desired user experience Create reports that effectively communicate the specific message you are working to convey Make Power BI reports accessible for those with visual, motor, and cognitive disabilities Evaluate charts, graphs, and other visuals using a repeatable checklist for optimal display of information Recognize a...
    Note: Online resource; Title from title screen (viewed June 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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    Managing SQL Server Encryption Certificates : Getting Started with SQL Server Encryption (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484251515
    Language: English
    Pages: 1 online resource (1 video file, approximately 38 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn best practices in certificate management for SQL Server. Certificates are small snippets of text that are foundational to encrypting and decrypting data. Watch this video to learn how to safely store certificates and prevent them from falling into the wrong hands and compromising the very data you are using them to protect. Also learn how to ensure that you still have access to needed certificates following a catastrophe or other data loss event, because data loss from lost certificates is a very real risk that must be managed and mitigated. This video begins with a short introduction to certificates and some of the different types of encryption they enable you as a SQL Server DBA to implement – such as transparent data encryption (TDE), backup encryption, and column encryption. Then you’ll learn practices for generating and managing certificates specifically for each of the different certificate types. Next, you’ll learn best practices for backing up and securing your encryption certificates so that you have them when you need them, because losing them can mean losing your data altogether. You’ll learn about certificate expiration, and the proper methods by which to backup, store, restore, and protect your certificates so that any encrypted data is never lost. What You Will Learn Ensure access to certificates following a catastrophe or other data loss event Learn about the types of encryption SQL Server offers Understand how certificates enable encryption Generate correct certificates for your chosen encryption methods Find where each certificate type is stored, how to back it up, and how to restore it Identify best practices with regards to generating and managing certificates Who This Video Is For For database administrators and system administrators who handle or plans to handle certificates for encrypting data on SQL Server instances.
    Note: Online resource; Title from title screen (viewed June 27, 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...
    Note: Online resource; Title from title screen (viewed January 1, 2019)
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    InnerSource Product Owners (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 16 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Sponsored by PayPal Middle management support is crucial to the adoption and long term survival of any InnerSource program. But how do you pull that off? In this course, InnerSource expert Silona Bonewald reveals the strategies that will convince middle managers to approve your InnerSource program and support them for doing so. One key to her approach: learn how to measure your program's success. If middle managers can see measurable success, your InnerSource program will thrive. Learners should be familiar with Agile or Lean processes and have a basic understanding of the roles of InnerSource Trusted Committers and Contributors. For best results, please view O'Reilly Media's " Introduction to InnerSource " video before beginning this course. Learn how to build and maintain middle management support for InnerSource programs Understand the Product Owners role in InnerSource Discover the best methods for dealing with escalations and removing bottlenecks Get wise to the numbers your bosses need to see and why they need to see them Explore the best ways to market your team and product to your organization Pick up the ability to create and maintain win/win agreements Learn how to persuade other teams to open their code to your team Silona Bonewald is the Director of InnerSource Engineering at Paypal. A developer and open source advocate since the late 90s, Silonia is a frequent contributor at O'Reilly OSCON conferences, where she speaks about InnerSource and other open source related topics.
    Note: Online resource; Title from title screen (viewed May 13, 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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    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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    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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    Certified Ethical Hacker (CEH), 2nd Edition (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 18 hr., 36 min.)
    Edition: 2nd edition
    Series Statement: LiveLessons
    Keywords: Computer security Study guides Examinations ; Penetration testing (Computer security) Study guides Examinations ; Hacking Study guides Examinations ; Computer networks Study guides Security measures ; Examinations ; Electronic data processing personnel Certification ; Electronic videos ; local ; Sécurité informatique ; Examens ; Guides de l'étudiant ; Tests d'intrusion ; Examens ; Guides de l'étudiant ; Piratage informatique ; Examens ; Guides de l'étudiant ; Réseaux d'ordinateurs ; Sécurité ; Mesures ; Examens ; Guides de l'étudiant ; Computer networks ; Security measures ; Examinations ; Computer security ; Examinations ; Electronic data processing personnel ; Certification ; examination study guides ; Study guides ; Study guides ; Guides de l'étudiant
    Abstract: 18+ Hours of Video Instruction Learn everything you need to know to pass the Certified Ethical Hacker exam. Overview Certified Ethical Hacker (CEH) Complete Video Course provides a complete overview of the topics contained in the EC-Council Blueprint for the CEH exam. With 5 modules containing more than 18 hours of training, this course covers all concepts in the objectives so you can master the knowledge you need to pass the exam. Build your ethical hacking skills with the foundations of reconnaissance, footprinting, enumeration, and vulnerability analysis and dive into hacking web servers, applications, wireless networks, IoT devices, and mobile platforms. Veteran security experts Omar Santos, Nick Garner, and Bo Rothwell provide a thorough foundation through demos and best practices for security risk analysis, as well as hacking tools and methods. With this knowledge, you will be able to confidently mitigate and help guard your network from the multifaceted attacks that you will encounter while also preparing you to pass the CEH exam. Regardless of your level of experience, this video course explores all sides of a multi-pronged cybersecurity attack to ensure that you are prepared to combat attack threats. About the Instructors Omar Santos is an active member of the cybersecurity community, where he leads several industry-wide initiatives and standards bodies. He is a principal engineer of the Cisco Product Security Incident Response Team (PSIRT), where he mentors and leads engineers and incident managers during the investigation and resolution of cyber security vulnerabilities. He is the author of several cybersecurity books and video courses. You can obtain additional information about Omar’s projects at omarsantos.io and h4cker.org. Nick Garner , CCIE No. 17871, is a solutions integration architect for Cisco Systems. He has been in Cisco Advanced Services supporting customers in both transactional and subscription engagements for 8 years. In his primary role, he has deployed and supported large-scale data center designs for prominent clients in the San Francisco Bay area. His primary technical focus outside of data center routing and switching designs is security and multicast. William “Bo” Rothwell has a passion for understanding how computers work and sharing this knowledge with others has resulted in a rewarding career in IT training. His experience includes Linux, Unix, and programming languages such as Perl, Python, Tcl, and BASH. H...
    Note: Online resource; Title from title screen (viewed July 10, 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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    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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    Abstraction in Computer Networks (2019)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 0 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Computer networks rely on many forms of abstraction to scale‚Äìindeed, to operate at all. While at least some of this abstraction is visible, such as route aggregation and flooding domain boundary summarization, much of it is hidden in unexpected places, such as in the logical construction of a network device, in the operation of BGP route reflectors, and in the data plane protocol stack. Abstraction in Computer Networks LiveLessons considers abstraction in theory and practice across many of the places it is used in building network devices, network software, and networks. Tradeoffs and common problems are considered, and the relationship between abstraction and complexity is discussed. Viewers learn how to think about what abstraction hides, and why it is important to hide each of these things. They also learn how to look in unexpected places for abstraction, how to think about leaky abstractions, and how Keith’s Law and the first corollary to Keith’s Law impact abstraction, including unintended consequences. Abstraction also relates to the State/Optimization/Surface tradeoff triad, so a section of this LiveLesson considers that tradeoff and how abstraction controls the speed and amount of state, impacts the depth and breadth of interaction surfaces, and reduces optimization. About the Instructor Russ White has more than 25 years of experience in designing, deploying, breaking, and troubleshooting large-scale networks. In that time, he has co-authored more than 40 software patents, has spoken at venues throughout the world, has participated in the development of several Internet standards, has helped develop the CCDE and the CCAr, and has worked in Internet governance with the ISOC. Russ is currently a member of the artchitecture team at LinkedIn, where he works on next-generation data center designs, complexity, security, and privacy. His most recent books are The Art of Network Architecture , Navigating Network Complexity , and Problems and Solutions in Network Engineering . MSIT Capella University, MACM Shepherds Theological Seminary, PhD in progress from Southeastern Theological Seminary CCIE No. 2635, CCDE 2007:001, CCAr Skill Level Beginner-Intermediate strong〉Learn How To Find and understand abstraction, including hidden abstractions, in a network Find and understand the tradeoffs between abstraction, complexity, understandability, and network optimization Understand the relationship between Keith’s Law, the first corollary to Keith’s ...
    Note: Online resource; Title from title screen (viewed June 28, 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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    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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    SQL Server Always Encrypted : Protecting Your Data with Column Encryption (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484255650
    Language: English
    Pages: 1 online resource (1 video file, approximately 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Master SQL Server’s Always Encrypted feature to provide column-level encryption of sensitive data such that only authorized application users can see that data. This video explains how the Always Encrypted feature works and shows how to implement column encryption using best practices. System and database administrators who might otherwise have access to view any data in the database are not able to view data protected through Always Encrypted’s feature set. This video begins with an introduction to column encryption as implemented through the Always Encrypted feature, and the use cases for applying that encryption. Then follows an explanation of how exactly the technology works and is implemented in SQL Server. The video then walks you through implementing Always Encrypted column encryption on a new database and again on an existing database. Finally, the video covers how to configure an application to access the encrypted data in a manner that is transparent and convenient for end users of your database applications. What You Will Learn Recognize use cases for the Always Encrypted feature Understand how the feature works technically Generate an encrypted column for a new table Insert data into an encrypted database column Encrypt existing data within a table Identify the relevant encryption certificates Modify an application to access encrypted data Who This Book Is For Database administrators, application developers, and system architects who need to encrypt and protect data in a SQL Server instance. Especially helpful when it must be ensured that database administrators and system administrators do not in any way have access to encrypted data.
    Note: Online resource; Title from title screen (viewed October 25, 2019)
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    Spotlight on Innovation : Succeeding with Machine Learning with Alex Jaimes (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: Machine learning (ML) is absolutely critical to driving your business success—and more opportunities to integrate it in innovative ways are emerging every day. However, implementation isn’t always as easy as it seems. To effectively execute ML and make it work for your organization, you must solve for this new interdependency between data, metrics, and testing. In this Spotlight on Innovation , learn about machine learning opportunities and challenges—and why process improvements can be even more beneficial than algorithmic ones. Recorded on February 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 July 30, 2019)
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    Spotlight on Data : Data Storytelling with Mico Yuk (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 56 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The power of storytelling has long been used in Hollywood to engage viewers and generate billions of dollars in sales. However, data storytelling, while highly trendy, is frequently misused and often limited to pretty charts. In this Spotlight on Data , learn how to use the power of storytelling with your data to skyrocket user engagement. Get your users to take action by implementing a few proven techniques. Recorded on July 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 July 30, 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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    Security principles for the working architect (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    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
    Details
    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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    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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    Recommendation engines and mobile gaming (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    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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  • 89
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    Random search and reproducibility for neural architecture search (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 41 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Neural architecture search (NAS) is a promising research direction that has the potential to replace expert-designed networks with learned, task-specific architectures. Ameet Talwalkar (Carnegie Mellon University Determined AI) shares work that aims to help ground the empirical results in this field and proposes new NAS baselines that build off the following observations: NAS is a specialized hyperparameter optimization problem, and random search is a competitive baseline for hyperparameter optimization. Leveraging these observations, Ameet evaluates both random search with early-stopping and a novel random search with a weight-sharing algorithm on two standard NAS benchmarks: PTB and CIFAR-10. Results show that random search with early-stopping is a competitive NAS baseline that performs at least as well as ENAS, a leading NAS method, on both benchmarks. Additionally, random search with weight-sharing outperforms random search with early-stopping, achieving a state-of-the-art NAS result on PTB and a highly competitive result on CIFAR-10. Ameet concludes by exploring existing reproducibility issues for published NAS results, noting the lack of source material needed to exactly reproduce these results, and discussing the robustness of published results given the various sources of variability in NAS experimental setups. All information (code, random seeds, documentation) needed to exactly reproduce our results will be shared, along with random search with weight-sharing results for each benchmark on two independent experimental runs. 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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    O'Reilly Velocity Conference 2019 - Berlin, Germany (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    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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    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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    On microservices, bounded contexts, and everything in between (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: “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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    Modern Web Design Patterns in Angular 8 (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789612813
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 32 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: An overview of enterprise-ready, modern web development with examples showing popular Angular concepts and strategies About This Video Addresses the challenges you'll meet transitioning to TypeScript from JavaScript Learn key Angular concepts so that you can develop your own powerful web apps Confidently build your own website using Angular and apply what you've learned to practical web development projects In Detail Angular is one of the largest and most widely used frameworks for front-end and full-stack web development; the Angular community is very eager to get hands-on with its latest features. Design patterns allow for a structured and more intuitive way to build applications that are modular, highly scalable and fault-tolerant. This course will serve as a practical and insightful journey through the most valuable design patterns in use, and provides clear guidance on how to use them effectively in Angular. You will explore the best ways to work with Angular and how to use it to achieve the stability and performance required in today's web development world. You'll get to know best practices to improve your productivity and your application's code base. By the end, you’ll be capable using Angular 8 (and future versions) to build better applications that are scalable and high-performing.
    Note: Online resource; Title from title screen (viewed June 26, 2019)
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    Linux Foundation Certified System Administrator (LFCS) (2019)
    [Erscheinungsort nicht ermittelbar] : Pearson IT Certification | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 20 hr., 53 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 21+ Hours of Video Instruction Linux Foundation Certified System Administrator (LFCS) Complete Video Course , 2nd Edition has 21 hours of comprehensive video training for you to have everything you need to study for—and pass—the LFCS exam. Linux Foundation Certified System Administrator (LFCS) Complete Video Course , 2nd Edition has 21 hours of comprehensive video training on the LFCS exam. You get more than 10 hours of Linux basics in Linux Fundamentals LiveLessons along with a full review of all Linux Foundation LFCS topics. Coverage includes advanced system administration, security, storage management, SSH services, and virtualization. This thorough and engaging training provides whiteboard concept teaching, live CLI work, screencast teaching, hands-on labs, command reviews, and a practice exam so you have everything you need to study for—and pass—the LFCS exam. To offer this course in the way that is most efficient for you, the contents have been developed to build upon your existing knowledge of Linux. You will start with Linux Fundamentals LiveLessons , a full video course on Linux basics, concepts, practices, and theories so you can get the foundational knowledge you need. You will then dive into the core part of the LFCS exam—including Advanced System Administration—and managing storage, security, SSH services, and virtualization. Each lesson ends with a lab for you to practice the skills learned in each lesson. These labs also act as training for the hands-on LFCS exam. After Sander presents you with the lab task, you have the opportunity to walk through it yourself. And the end of each lesson is the Lab Solution, where Sander walks through the correct way to complete the lab were you taking the real exam. A full practice exam is also provided so you can fully prepare for the exam. The practice exam sets up scenarios that you will solve and also provides video solutions so you can check your work against the author’s. This is an invaluable part of the study experience. This accessible self-paced video training solution provides learners with more than 21 hours of personal visual instruction from an expert trainer with more than 20 years of practical Linux teaching experience. Through the use of topic-focused instructional videos you will gain an in-depth understanding of all topics on the Linux Foundation LFCS exam, as well as a deeper understanding of Linux. The combination of video and labs is a unique offering that gives you a full...
    Note: Online resource; Title from title screen (viewed March 6, 2019)
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    Leveraging data science in asset management (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: Asset managers of all stripes are ramping up their data science capabilities. Andrew Chin and Celia Chen (AllianceBernstein) offer an overview of data science applications within the asset management industry, covering case studies spanning different functions within an asset management organization. Along the way, they look at an investment research project that used a new “big dataset” as well as a machine algorithm to create a more powerful prediction model and detail a machine learning model they developed to understand their clients better. 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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    Java Lambdas and the Stream API : Bringing Functional Programming to Java (2019)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484255940
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 1 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Come up to speed with Java functional programming and write effective Java code with less effort using lambdas and the stream API. Make your Java project code more reliable by using the declarative approach provided by these new Java features. Learn how to leverage the updated collections API to facilitate common functional programming patterns such as map/filter/reduce. If you’ve ever stumbled through constructing for loops and while loops, this video will add to your programming toolbox and allow you to leave such heavy lifting to the stream API. You’ll begin your journey with the syntax of Java lambdas, what they are, and how to use them. You will then be introduced to Java streams and the various ways of creating them for the purpose of processing data. You will also learn about the updates which have been made to the Java collections API for supporting streams. Along the way you will be taught the streams API and how to use the methods defined in the Stream class to process data sources to obtain the results you desire by employing lambdas with the Stream class’ operations. What You Will Learn Write functional interfaces for defining lambdas Master lambda syntax for implementing anonymous functions Create streams associated with data sources Process data through stream operations Use method references for simplifying lambda expressions Discover parallel and sequential streams and how they differ Who This Video Is For Software developers familiar with Java who wish to employ functional programming techniques in their software projects in order to write reliable, compact, and easy-to-read Java code.
    Note: Online resource; Title from title screen (viewed November 5, 2019)
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    Having the bubble : How your experts build, maintain, and spread deep system knowledge (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 34 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: We fret about how to break system knowledge out of knowledge silos—the expert individuals with a deep intuitive understanding of our complex systems. How do these people engage with the system and act to protect, fortify, and improve it? How can engineering organizations protect and fortify experts as a key part of their observability strategy? Beth Long (New Relic) explains how those experts represent both a vulnerability and a strength and why understanding them as a key mechanism in your larger systems helps you harness their power and protect against fragility. 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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    Expert Playlist Intro : Learn How To Write A Great Technical Book, By Example (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: In this brief introduction to Tim O'Reilly's Expert Playlist , find out why he selected these books as great examples of how to write a technical book.
    Note: Online resource; Title from title screen (viewed August 25, 2019)
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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
    Details
    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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    Deep learning for time series data (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: 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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