Applied Machine Learning for Health and Fitness A Practical Guide to Machine Learning with Deep Vision, Sensors and IoT

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...

Descripción completa

Detalles Bibliográficos
Autor principal:	Ashley, Kevin. author (author)
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Berkeley, CA : Apress 2020.
Edición:	1st ed. 2020.
Materias:	Computer input-output equipment. Machine learning. Computer communication systems. Sports. Hardware and Maker. Machine Learning. Computer Communication Networks. Sport.
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630865406719

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.

Applied Machine Learning for Health and Fitness A Practical Guide to Machine Learning with Deep Vision, Sensors and IoT

Ejemplares similares