Machine Learning Tutorials

  1. Introduction to Python, Machine Learning Environment (slides), Probability Theory (slides)
  2. Linear Regression (slides)
  3. Meta Learning (slides)
  4. Artificial Neural Networks (slides)
  5. Reinforcement Learning with Function Approximators (slides)
  6. Neuroevolution and Direct Policy Search (slides)

Machine Learning Tutorials
afabisch@informatik.uni-bremen.de