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  • Safari, an O’Reilly Media Company.  (2)
  • Safari, an O'Reilly Media Company
  • [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc.  (2)
  • [Erscheinungsort nicht ermittelbar] : Pearson Education India
  • Bases de données ; Gestion  (2)
Datasource
Material
Language
Years
Author, Corporation
Publisher
  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781492094494 , 1492094498
    Language: English
    Pages: 1 online resource (75 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 658.4/03
    Keywords: Database management ; Machine learning ; Management information systems ; Business Databases Management ; Information storage and retrieval systems Reliability ; Electronic books ; local ; Electronic books ; Bases de données ; Gestion ; Apprentissage automatique ; Systèmes d'information de gestion ; Affaires ; Bases de données ; Gestion ; Systèmes d'information ; Fiabilité
    Abstract: Your training data has as much to do with the success of your data project as the algorithms themselves--most failures in deep learning systems relate to training data. But while training data is the foundation for successful machine learning, there are few comprehensive resources to help you ace the process. This hands-on guide explains how to work with and scale training data. You'll gain a solid understanding of the concepts, tools, and processes needed to: Design, deploy, and ship training data for production-grade deep learning applications Integrate with a growing ecosystem of tools Recognize and correct new training data-based failure modes Improve existing system performance and avoid development risks Confidently use automation and acceleration approaches to more effectively create training data Avoid data loss by structuring metadata around created datasets Clearly explain training data concepts to subject matter experts and other shareholders Successfully maintain, operate, and improve your system
    Note: Online resource; Title from title page (viewed January 25, 2022) , Mode of access: World Wide Web.
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (82 pages)
    Edition: 1st edition
    DDC: 004.6782
    Keywords: Database management ; Big data ; Data mining ; Data Mining ; Electronic books ; Données volumineuses ; Exploration de données (Informatique) ; Big data ; Data mining ; Database management ; Bases de données ; Gestion
    Abstract: Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the underlying technology. This book will help you: Assess data engineering problems using an end-to-end data framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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