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  • [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc.
  • [Erscheinungsort nicht ermittelbar] : Wiley
  • Electronic books ; local  (4)
  • Films autres que de fiction
  • Computer Science  (3)
  • Engineering  (1)
Datasource
Material
Language
Years
Author, Corporation
Publisher
Keywords
Subjects(RVK)
  • Computer Science  (3)
  • Engineering  (1)
  • Economics  (3)
  • 1
    Online Resource
    Online Resource
    Think Bayes, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (300 pages)
    Edition: 2nd edition
    Parallel Title: Erscheint auch als Downey, Allen B. Think Bayes
    RVK:
    ST 601
    Keywords: Electronic books ; local
    Abstract: If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer and you'll begin to apply these techniques to real-world problems. Bayesian statistical methods are becoming more common and more important, but not many resources are available to help beginners. Based on undergraduate classes taught by author Allen Downey, this book's computational approach helps you get a solid start. Use your programming skills to learn and understand Bayesian statistics Work with problems involving estimation, prediction, decision analysis, evidence, and Bayesian hypothesis testing Get started with simple examples, using coins, dice, and a bowl of cookies Learn computational methods for solving real-world problems
    Note: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Big Data Analytics for Internet of Things (2021)
    [Erscheinungsort nicht ermittelbar] : Wiley | Boston, MA : Safari
    Details
    ISBN: 9781119740759
    Language: English
    Pages: 1 online resource (400 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als Big data analytics for Internet of things
    DDC: 005.7
    RVK:
    ST 205
    Keywords: Electronic books ; local ; Big Data ; Datenverarbeitung ; Internet der Dinge
    Abstract: BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and emerging leaders in the field Big Data Analytics for Internet of Things delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (IoT) systems. The book includes discussions of the enabling technologies of IoT data analytics, types of IoT data analytics, challenges in IoT data analytics, demand for IoT data analytics, computing platforms, analytical tools, privacy, and security. The distinguished editors have included resources that address key techniques in the analysis of IoT data. The book demonstrates how to select the appropriate techniques to unearth valuable insights from IoT data and offers novel designs for IoT systems. With an abiding focus on practical strategies with concrete applications for data analysts and IoT professionals, Big Data Analytics for Internet of Things also offers readers: A thorough introduction to the Internet of Things, including IoT architectures, enabling technologies, and applications An exploration of the intersection between the Internet of Things and Big Data, including IoT as a source of Big Data, the unique characteristics of IoT data, etc. A discussion of the IoT data analytics, including the data analytical requirements of IoT data and the types of IoT analytics, including predictive, descriptive, and prescriptive analytics A treatment of machine learning techniques for IoT data analytics Perfect for professionals, industry practitioners, and researchers engaged in big data analytics related to IoT systems, Big Data Analytics for Internet of Things will also earn a place in the libraries of IoT designers and manufacturers interested in facilitating the efficient implementation of data analytics strategies.
    Note: Online resource; Title from title page (viewed April 20, 2021) , 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
    Photovoltaic Module Reliability (2020)
    [Erscheinungsort nicht ermittelbar] : Wiley | Boston, MA : Safari
    Details
    ISBN: 9781119458999
    Language: English
    Pages: 1 online resource (264 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als Wohlgemuth, John H. Photovoltaic module reliability
    DDC: 621.3815/42
    RVK:
    ZP 3730
    Keywords: Electronic books ; local ; Solarzelle ; Fotovoltaikanlage ; Modul ; Zuverlässigkeit
    Abstract: Provides practical guidance on the latest quality assurance and accelerated stress test methods for improved long-term performance prediction of PV modules This book has been written from a historical perspective to guide readers through how the PV industry learned what the failure and degradation modes of PV modules were, how accelerated tests were developed to cause the same failures and degradations in the laboratory, and then how these tests were used as tools to guide the design and fabrication of reliable and long-life modules. Photovoltaic Module Reliability starts with a brief history of photovoltaics, discussing some of the different types of materials and devices used for commercial solar cells. It then goes on to offer chapters on: Module Failure Modes; Development of Accelerated Stress Tests; Qualification Testing; and Failure Analysis Tools. Next, it examines the use of quality management systems to manufacture PV modules. Subsequent chapters cover the PVQAT Effort; the Conformity Assessment and IECRE; and Predicting PV Module Service Life. The book finishes with a look at what the future holds for PV. A comprehensive treatment of current photovoltaic (PV) technology reliability and necessary improvement to become a significant part of the electric utility supply system Well documented with experimental and practical cases throughout, enhancing relevance to both scientific community and industry Timely contribution to the harmonization of methodological aspects of PV reliability evaluation with test procedures implemented to certify PV module quality Written by a leading international authority in PV module reliability Photovoltaic Module Reliability is an excellent book for anyone interested in PV module reliability, including those working directly on PV module and system reliability and preparing to purchase modules for deployment.
    Note: Online resource; Title from title page (viewed March 16, 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
    Linux Observability with BPF (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (170 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als Calavera, David Linux observability with BPF
    RVK:
    ST 261
    Keywords: Electronic books ; local ; LINUX ; Programmierung ; Leistungsbewertung
    Abstract: Want to master the BPF virtual machine in the Linux Kernel? This practical guide shows you how to write applications that use BPF to observe and modify the kernel’s behavior on demand—without having prior knowledge of Linux Kernel development. David Calavera and Lorenzo Fontana introduce concepts to help systems engineers understand the BPF program lifecycle. If you have knowledge about performance optimization, networking, and security, this book shows you how to inject code to monitor, trace, and observe events in the kernel in a secure way—without the need to recompile the kernel or reboot the system. You’ll find code examples in C, Go, and Python.
    Note: Online resource; Title from title page (viewed September 25, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492050193/?ar
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
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