4. Machine Learning

  1. Introduction to machine learning
  2. Introduction to artificial neural networks
  3. Uncertainty in environments
  4. Bayesian belief networks
  5. Bayes classifier
  6. k-Means Clustering
  7. Fuzzy c-Means Clustering
  8. TensorFlow and Keras