AI in Sports with Python

AI in Sports with Python is a fun new course that complements and extends my book ‘Applied Machine Learning for Health and Fitness’  through videos and new examples. Learn AI with Python with fun applications in many sports: tennis, surfing, skiing, snowboarding, skateboarding, football, gymnastics, basketball, track and field and much more! 

  • Module 1 – Getting Started
    Episode 1.1 – Getting Started
    Episode 1.2 – Data Scientist Toolbox
  • Module 2 – Physics of Sports
    Episode 2.1 – Sensors
    Episode 2.2 – Kinematics
    Episode 2.3 – Figure Skating
  • Module 3 – Neural Networks
    Episode 3.1 – Neural Networks
    Episode 3.2 – Simple Neural Network
    Episode 3.3 – Multi-Layer Neural Network
  • Module 4 – Deep Vision
    Episode 4.1 – Computer Vision
    Episode 4.2 – Classification
    Episode 4.3 – Detection
    Episode 4.4 – Segmentation
    Episode 4.5 – Human Body Joints
  • Module 5 – Human Body Pose Estimation
    Episode 5.1 Pose Estimation Methods: 2D and 3D
    Episode 5.2 Surfing
    Episode 5.3 Detecting Skill Level
    Episode 5.4 Multi-person pose estimation
  • Module 6 – Video Action Recognition
    Episode 6.1 Action Recognition Methods, Datasets, Models
    Episode 6.2 Video Classification
  • Module 7 – Reinforcement Learning
    Episode 7.1 – Reinforcement Learning
    Episode 7.2 – Skateboarding
    Episode 7.3 – Gymnastics
    Episode 7.4 – Human Models
  • Module 8 – Machine Learning in the Cloud
    Episode 8.1 – Working with AI in the cloud
    Episode 8.2 – Training models in the cloud
    Episode 8.3 – Managing machine learning in the cloud
    Episode 8.4 – Taking your AI to production

Estimated length: 3 hours