Skip to main content

Machine Learning in Sports 101

  • Chapter
  • First Online:
  • 1312 Accesses

Abstract

 In this chapter I introduce concepts and areas of machine learning we will be covering further in detail in this book. If you are a data scientist or a sport science practitioner interested in machine learning, you will find many practical examples that can help you in real life. From deep computer vision to working and applying sensors in the field of various sports, analyzing and processing data and training models, new technologies and projects collected in this book should help adding machine learning as a tool.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Kevin Ashley

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Ashley, K. (2020). Machine Learning in Sports 101. In: Applied Machine Learning for Health and Fitness. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-5772-2_1

Download citation

Publish with us

Policies and ethics