rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Building an effective data science practice
    sub title: a framework to bootstrap and manage a successful data science practice
  name:
    name part: Raina, Vineet
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Krishnamurthy, Srinath
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  genre: elektronické knihy
  genre: electronic books
  origin info:
    place:
      place term: cau
    place:
      place term: California]
    publisher: Apress
    date issued: 2022
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic resource
    form: remote
    extent: 1 online resource
  abstract: Gain a deep understanding of data science and the thought process needed to solve problems in that field using the required techniques, technologies and skills that go into forming an interdisciplinary team. This book will enable you to set up an effective team of engineers, data scientists, analysts, and other stakeholders that can collaborate effectively on crucial aspects such as problem formulation, execution of experiments, and model performance evaluation. You'll start by delving into the fundamentals of data science - classes of data science problems, data science techniques and their applications - and gradually build up to building a professional reference operating model for a data science function in an organization. This operating model covers the roles and skills required in a team, the techniques and technologies they use, and the best practices typically followed in executing data science projects. Building an Effective Data Science Practice provides a common base of reference knowledge and solutions, and addresses the kinds of challenges that arise to ensure your data science team is both productive and aligned with the business goals from the very start. Reinforced with real examples, this book allows you to confidently determine the strategic answers to effectively align your business goals with the operations of the data science practice. What You'll Learn Transform business objectives into concrete problems that can be solved using data science Evaluate how problems and the specifics of a business drive the techniques and model evaluation guidelines used in a project Build and operate an effective interdisciplinary data science team within an organization Evaluating the progress of the team towards the business RoI Understand the important regulatory aspects that are applicable to a data science practice Who This Book Is For Technology leaders, data scientists, and project managers.
  table of contents: Part One: Fundamentals -- 1. Introduction: The Data Science Process -- 2. Data Science and your business -- 3. Monks vs. Cowboys: Data Science Cultures -- Part Two: Classes of Problems -- 4. Classification -- 5. Regression -- 6. Natural Language Processing -- 7. Clustering -- 8. Anomaly Detection -- 9.Recommendations -- 10. Computer Vision -- 11. Sequential Decision Making -- -- Part Three: Techniques & Technologies -- 12. Overview -- 13. Data Capture -- 14. Data Preparation -- 15. Data Visualization -- 16. Machine Learning -- 17. Inference -- 18. Other tools and services -- 19. Reference Architecture -- 20. Monks vs. Cowboys: Praxis -- Part Four: Building Teams and Executing Projects -- 21. The Skills Framework -- 22. Building and structuring the team -- 23. Data Science Projects -- Appendix FAQs.
  note: Vineet Raina, Srinath Krishnamurthy.
  note: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  note: Includes bibliographical references and index.
  subject:
    topic: Data mining
  subject:
    topic: Big data
  subject:
    topic: Machine learning
  subject:
    topic: Business
    topic: Data processing
  related item:
    identifier: (OCoLC)1268111688
  identifier: 9781484274194
  identifier: 1484274199
  identifier: 1484274180
  identifier: 9781484274187
  identifier: https://proxy.k.utb.cz/login
  access condition: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  record info:
    record content source: YDX
    record creation date: 211212
    record change date: 20240717213016.0
    record identifier: kn-on1288273234
    language of cataloging:
      language term: eng