Machine learning, classification and Bayesian network

M1, UPSSITECH engineering school, 2015

This course aims to train the students in machine learning techniques:

  • Overview of various ML techniques. Supervised learning (decision tree learning, k-nn, SVM) and unsupervised learning.
  • Experiments with Weka, a data mining tool
  • Bayesian reasoning and learning
  • Project on reinforcement learning: the students must develop an agent that learns to escape a maze with Q-learning.