Applied machine learning for health and fitness : a practical guide to machine learning with deep vision, sensors, IoT, and VR /

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, mach...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ashley, Kevin (Software architect)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [United States] : Apress, 2020.
Temas:
Machine learning.
Exercise > Data processing.
Apprentissage automatique.
Exercice > Informatique.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Part I: Getting Started
  • Chapter 1: Machine Learning in Sports 101
  • Chapter 2: Physics of Sports
  • Chapter 3: Data Scientist's Toolbox
  • Chapter 4: 3D Neutral Networks
  • Chapter 5: Sensors
  • Part 2: Applied Machine Learning
  • Chapter 6: Deep Computer Learning
  • Chapter 7: 2D Body Pose Estimation
  • Chapter 8: 3D Pose Estimation
  • Chapter 9: Video Action Recognition
  • Chapter 10: Reinforcement Learning in Sports
  • Chapter 11: Machine Learning in the Cloud
  • Chapter 12: Automating and Consuming Machine Learning.

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