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Applied Machine Learning for Health and Fitness

A Practical Guide to Machine Learning with Deep Vision, Sensors and IoT

Authors: Ashley, Kevin

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  • Demonstrates machine learning models with real-world use cases
  • Build your own IoT devices and sensors for athletes
  • Covers examples of data visualization through holograms and VR
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eBook $34.99
price for USA
  • ISBN 978-1-4842-5772-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $44.99
price for USA
  • ISBN 978-1-4842-5771-5
  • Free shipping for individuals worldwide. COVID-19 shipping restrictions apply.
  • Immediate ebook access, if available*, with your print order
  • Usually ready to be dispatched within 3 to 5 business days.
About this book

Explore the world of using machine learning methods with deep computer vision, sensors and data in sports, health and fitness and other industries. Accompanied by practical step-by-step Python code samples and Jupyter notebooks, this comprehensive guide acts as a reference for a data scientist, machine learning practitioner or anyone interested in AI applications. These ML models and methods can be used to create solutions for AI enhanced coaching, judging, athletic performance improvement, movement analysis, simulations, in motion capture, gaming, cinema production and more.

Packed with fun, practical applications for sports, machine learning models used in the book include supervised, unsupervised and cutting-edge reinforcement learning methods and models with popular tools like PyTorch, Tensorflow, Keras, OpenAI Gym and OpenCV. Author Kevin Ashley—who happens to be both a machine learning expert and a professional ski instructor—has written an insightful book that takes you on a journey of modern sport science and AI. 

Filled with thorough, engaging illustrations and dozens of real-life examples, this book is your next step to understanding the implementation of AI within the sports world and beyond. Whether you are a data scientist, a coach, an athlete, or simply a personal fitness enthusiast excited about connecting your findings with AI methods, the author’s practical expertise in both tech and sports is an undeniable asset for your learning process. Today’s data scientists are the future of athletics, and Applied Machine Learning for Health and Fitness hands you the knowledge you need to stay relevant in this rapidly growing space.

What You'll Learn

  • Use multiple data science tools and frameworks
  • Apply deep computer vision and other machine learning methods for classification, semantic segmentation, and action recognition
  • Build and train neural networks, reinforcement learning models and more
  • Analyze multiple sporting activities with deep learning
  • Use datasets available today for model training
  • Use machine learning in the cloud to train and deploy models
  • Apply best practices in machine learning and data science

  • Who This Book Is For

    Primarily aimed at data scientists, coaches, sports enthusiasts and athletes interested in connecting sports with technology and AI methods. 

    About the authors

    Kevin Ashley is a Microsoft architect, IoT expert, and professional ski instructor. He is an author and developer of top sports and fitness apps and platforms such as Active Fitness and Winter Sports with a multi-million user audience. Kevin often works with sports scientists, Olympic athletes, coaches and teams to advance technology use in sports. 

    Table of contents (12 chapters)

    Table of contents (12 chapters)

    Buy this book

    eBook $34.99
    price for USA
    • ISBN 978-1-4842-5772-2
    • Digitally watermarked, DRM-free
    • Included format: PDF, EPUB
    • ebooks can be used on all reading devices
    • Immediate eBook download after purchase
    Softcover $44.99
    price for USA
    • ISBN 978-1-4842-5771-5
    • Free shipping for individuals worldwide. COVID-19 shipping restrictions apply.
    • Immediate ebook access, if available*, with your print order
    • Usually ready to be dispatched within 3 to 5 business days.
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    Bibliographic Information

    Bibliographic Information
    Book Title
    Applied Machine Learning for Health and Fitness
    Book Subtitle
    A Practical Guide to Machine Learning with Deep Vision, Sensors and IoT
    Authors
    Copyright
    2020
    Publisher
    Apress
    Copyright Holder
    Kevin Ashley
    eBook ISBN
    978-1-4842-5772-2
    DOI
    10.1007/978-1-4842-5772-2
    Softcover ISBN
    978-1-4842-5771-5
    Edition Number
    1
    Number of Pages
    XVI, 259
    Number of Illustrations
    95 b/w illustrations, 75 illustrations in colour
    Topics

    *immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works and instructor copies are not included.