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  • Safari, an O'Reilly Media Company.
  • Internet videos  (3)
  • MATHEMATICS ; Applied  (3)
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  • 1
    Online Resource
    Online Resource
    AI Superstream : Responsible AI (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc.
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 39 min.)
    Edition: 1st edition.
    DDC: 006.3/1
    Keywords: Streaming video ; Internet videos ; Vidéo en continu ; Vidéos sur Internet ; streaming video ; Internet videos ; Streaming video ; Electronic videos
    Abstract: Join us for an event focused on the many aspects of designing, deploying, and maintaining responsible AI. Event chair and responsible AI expert Rumman Chowdhury offers overarching context, stitching together shorter tech talks and conversations with industry leaders. What you'll learn and how you can apply it Discover what responsible AI includes (and what it doesn't) See what responsible AI looks like in action, from data to deployment to debugging Learn how to debug your ML model Explore real-world applications of responsible AI Understand what industry leaders think about when they think about responsibility This course is for you because... You're a machine learning engineer or data scientist interested in responsible AI. You're engaged in conversations about ethics and AI. You're wondering how to improve your own AI and machine learning. You're responsible for implementing fair or ethical AI practices in your role or project and looking for hands-on examples. Recommended follow-up: Read Responsible Machine Learning (report) Read AI and the Law (report) Read Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (book)
    Note: Online resource; Title from title screen (viewed June 16, 2021)
    URL: lizenzpflichtig
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Exam AZ-104 Microsoft Azure Administrator (Video) (2020)
    [Erscheinungsort nicht ermittelbar] : Microsoft Press | Boston, MA : Safari
    Details
    ISBN: 9780136823483 , 0136823483
    Language: English
    Pages: 1 online resource (1 video file, approximately 9 hr., 30 min.)
    Edition: 1st edition
    Keywords: Internet videos ; Streaming video ; Electronic videos ; local ; Vidéos sur Internet ; Vidéo en continu ; streaming video ; Internet videos ; Streaming video ; Electronic videos
    Abstract: 9 Hours of Video Instruction The Exam AZ-104 Microsoft Azure Administrator (Video) offers full coverage of the MS AZ-104 exam so you can learn everything you need to know to pass the exam. Coverage includes cloud concepts, core Azure Services, Azure pricing and support, and the fundamentals of cloud security, privacy, compliance, and trust, with the goal of passing the AZ-104 Exam. Description The Exam AZ-104 Microsoft Azure Administrator (Video) offers 9 full hours of video training on all core concepts in the AZ-104 exam so you can fully understand cloud concepts, core Azure Services, Azure pricing and support, and the fundamentals of cloud security, privacy, compliance, and trust. It will prepare Azure Administrators to implement, monitor, and maintain Microsoft Azure solutions, including major services related to compute, storage, network, and security. With 9 hours of hands-on demonstrations, it will provide the knowledge necessary to pass the exam and become Microsoft Certified: Microsoft Azure Administrator. With years of IT experience, numerous publications under his belt, and a wealth of expertise teaching in the field, Michael Shannon is uniquely qualified to prepare students for the Microsoft Azure Administrator AZ-104 exam. Topics include: Module 1: Manage Azure subscriptions and resources Module 2: Implement and manage storage Module 3: Deploy and manage virtual machines (VMs) Module 4: Configure and manage virtual networks Module 5: Manage identities About the Instructor Michael J. Shannon began his IT career when he transitioned from recording studio engineer to network technician for a major telecommunications company in the early 1990s. He soon began to focus on security and was one of the first 10 people to attain the HIPAA Certified Security Specialist. Throughout his 30 years in IT, he has worked as an employee, contractor, and consultant for several companies including Platinum Technologies, Fujitsu, IBM, State Farm, MindSharp, and Pearson, among others. Mr. Shannon has authored several books, training manuals, published articles, and CBT modules over the years as well. He is the senior technical instructor for Skillsoft Corporation, specializing in all things cloud and security. Skill Level Intermediate/Advanced Learn How To Manage Azure subscriptions and resources Implement and manage storage Deploy and manage virtual machines (VMs) Configure and manage virtual networks Manage identities Who Should Take...
    Note: Online resource; Title from title screen (viewed June 5, 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
    C++20 Fundamentals (2020)
    [Erscheinungsort nicht ermittelbar] : Pearson | Boston, MA : Safari
    Details
    ISBN: 9780136875185 , 0136875181
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 hr., 20 min.)
    Edition: 1st edition
    Keywords: Internet videos ; Streaming video ; Electronic videos ; local ; Electronic videos ; Vidéo en continu ; streaming video ; Internet videos ; Streaming video ; Vidéos sur Internet
    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. C++20 Fundamentals LiveLessons with Paul Deitel is a code-oriented presentation of C++, one of the world,Äôs most versatile and powerful programming languages. C++ remains hugely popular for the development of systems software, embedded systems, operating systems, real-time systems, communications systems and other high performance computer applications. C++20 Fundamentals LiveLessons is comprehensive and covers all major versions of C++, including: C++11, C++17, and C++20. The code repository for this LiveLesson is kept at https://github.com/pdeitel/CPlusPlus20FundamentalsLiveLessons and will be kept up to date as lessons are added and as changes are made.
    Note: Online resource; Title from title screen (viewed June 10, 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.
  • 4
    Online Resource
    Online Resource
    Introduction to High-Dimensional Statistics (2014)
    [Erscheinungsort nicht ermittelbar] : Chapman and Hall/CRC | Boston, MA : Safari
    Details
    ISBN: 9781482237955 , 1482237954 , 1322629536 , 9781322629537 , 042917389X , 9780429173899 , 9781482237948
    Language: English
    Pages: 1 online resource (270 pages)
    Edition: 1st edition
    Series Statement: Monographs on statistics & applied probability 139
    Parallel Title: Erscheint auch als
    Keywords: Dimensional analysis ; Multivariate analysis ; Big data ; Statistics ; Electronic books ; local ; Analyse dimensionnelle ; Analyse multivariée ; Données volumineuses ; Statistique ; statistics ; MATHEMATICS ; Applied ; MATHEMATICS ; Probability & Statistics ; General ; Big data ; Dimensional analysis ; Multivariate analysis ; Statistics ; Boosting ; Datenanalyse ; Hochdimensionale Daten ; Inferenzstatistik ; Lasso-Methode ; Mathematische Modellierung ; Statistik
    Abstract: Ever-greater computing technologies have given rise to an exponentially growing volume of data. Today massive data sets (with potentially thousands of variables) play an important role in almost every branch of modern human activity, including networks, finance, and genetics. However, analyzing such data has presented a challenge for statisticians and data analysts and has required the development of new statistical methods capable of separating the signal from the noise. Introduction to High-Dimensional Statistics is a concise guide to state-of-the-art models, techniques, and approaches for handling high-dimensional data. The book is intended to expose the reader to the key concepts and ideas in the most simple settings possible while avoiding unnecessary technicalities. Offering a succinct presentation of the mathematical foundations of high-dimensional statistics, this highly accessible text: Describes the challenges related to the analysis of high-dimensional data Covers cutting-edge statistical methods including model selection, sparsity and the lasso, aggregation, and learning theory Provides detailed exercises at the end of every chapter with collaborative solutions on a wikisite Illustrates concepts with simple but clear practical examples Introduction to High-Dimensional Statistics is suitable for graduate students and researchers interested in discovering modern statistics for massive data. It can be used as a graduate text or for self-study.
    Note: Online resource; Title from title page (viewed December 17, 2014) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    Online Resource
    Online Resource
    Introduction to Linear Optimization and Extensions with MATLAB® (2013)
    [Erscheinungsort nicht ermittelbar] : CRC Press | Boston, MA : Safari
    Details
    ISBN: 9781482204346 , 1482204347 , 9781439862636
    Language: English
    Pages: 1 online resource (362 pages)
    Edition: 1st edition
    Series Statement: The operations research series
    Parallel Title: Erscheint auch als
    Keywords: MATLAB ; Linear programming ; Mathematical optimization ; Numerical analysis Computer programs ; Electronic books ; local ; MATLAB ; Programmation linéaire ; Optimisation mathématique ; MATHEMATICS ; Applied ; MATHEMATICS ; Probability & Statistics ; General ; Linear programming ; Mathematical optimization ; Numerical analysis ; Computer programs
    Abstract: Filling the need for an introductory book on linear programming that discusses the important ways to mitigate parameter uncertainty, Introduction to Linear Optimization and Extensions with MATLAB® provides a concrete and intuitive yet rigorous introduction to modern linear optimization. In addition to fundamental topics, the book discusses current linear optimization technologies such as predictor-path following interior point methods for both linear and quadratic optimization as well as the inclusion of linear optimization of uncertainty i.e. stochastic programming with recourse and robust optimization. The author introduces both stochastic programming and robust optimization as frameworks to deal with parameter uncertainty. The author's unusual approach-developing these topics in an introductory book-highlights their importance. Since most applications require decisions to be made in the face of uncertainty, the early introduction of these topics facilitates decision making in real world environments. The author also includes applications and case studies from finance and supply chain management that involve the use of MATLAB. Even though there are several LP texts in the marketplace, most do not cover data uncertainty using stochastic programming and robust optimization techniques. Most emphasize the use of MS Excel, while this book uses MATLAB which is the primary tool of many engineers, including financial engineers. The book focuses on state-of-the-art methods for dealing with parameter uncertainty in linear programming, rigorously developing theory and methods. But more importantly, the author's meticulous attention to developing intuition before presenting theory makes the material come alive.
    Note: Online resource; Title from title page (viewed September 5, 2013) , 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.
  • 6
    Online Resource
    Online Resource
    Data Analysis and Statistics for Geography, Environmental Science, and Engineering (2012)
    [Erscheinungsort nicht ermittelbar] : CRC Press | Boston, MA : Safari
    Details
    ISBN: 9781466592216 , 1466592214 , 9781439885017
    Language: English
    Pages: 1 online resource (557 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    Keywords: Geography Data processing ; Geography Statistical methods ; Environmental sciences Data processing ; Environmental sciences Statistical methods ; Engineering Data processing ; Engineering Statistical methods ; Electronic books ; local ; Géographie ; Informatique ; Géographie ; Méthodes statistiques ; Sciences de l'environnement ; Informatique ; Sciences de l'environnement ; Méthodes statistiques ; Ingénierie ; Informatique ; Ingénierie ; Méthodes statistiques ; MATHEMATICS ; Applied ; MATHEMATICS ; Probability & Statistics ; General ; Engineering ; Data processing ; Engineering ; Statistical methods ; Environmental sciences ; Data processing ; Environmental sciences ; Statistical methods ; Geography ; Data processing ; Geography ; Statistical methods
    Abstract: Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantitative methodology, including how to implement data analysis methods using open-source software. Given the importance of interdisciplinary work in sustainability, the book brings together principles of statistics and probability, multivariate analysis, and spatial analysis methods applicable across a variety of science and engineering disciplines. Learn How to Use a Variety of Data Analysis and Statistics Methods Based on the author's many years of teaching graduate and undergraduate students, this textbook emphasizes hands-on learning. Organized into two parts, it allows greater flexibility using the material in various countries and types of curricula. The first part covers probability, random variables and inferential statistics, applications of regression, time series analysis, and analysis of spatial point patterns. The second part uses matrix algebra to address multidimensional problems. After a review of matrices, it delves into multiple regression, dependent random processes and autoregressive time series, spatial analysis using geostatistics and spatial regression, discriminant analysis, and a variety of multivariate analyses based on eigenvector methods. Build from Fundamental Concepts to Effective Problem Solving Each chapter starts with conceptual and theoretical material to give a firm foundation in how the methods work. Examples and exercises illustrate the applications and demonstrate how to go from concepts to problem solving. Hands-on computer sessions allow students to grasp the practical implications and learn by doing. Throughout, the computer examples and exercises use seeg and RcmdrPlugin.seeg , open-source R packages developed by the author, which help students acquire the skills to implement and conduct analysis and to analyze the results. This self-contained book offers a unified presentation of data analysis methods for more effective problem solving. With clear, easy-to-follow explanations, the book helps students to develop a solid understanding of basic statistical analysis and prepares them for learning the more advanced and specialized methods they will need in their work.
    Note: Online resource; Title from title page (viewed December 7, 2012) , 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.
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