Lecture Videos (ML)

25/02/2022: Introduction

02/03/2022: Classification Evaluation

04/03/2022: Decision trees

09/03/2022: Probability 1

11/03/2022: Probability 2

16/03/2022: Bayesian Learning

18/03/2022: Lab 1 on Evaluation, Decision Trees, and Bayesian Learning (Dr. Cipollone)

23/03/2022: Linear Classification

25/03/2022: Linear Regression

30/03/2022: Linear Regression + Kernel Methods

01/04/2022: Kernel Methods

08/04/2022: Lab 2 on Linear Regression, Classification, Regularization and Kernel Methods (Dr. Cipollone)

22/04/2022: Instance-based learning + Neural Networks

29/04/2022: Neural Networks

06/05/2022: Neural Networks

13/05/2022:

• • • • • • Neural Networks

          • Lab 3.1 on ANN (Regression)

          • Lab 3.2 on ANN (Classification)

20/05/2022: Unsupervised Learning (K-means, EM)

25/05/2022: Markov Decision Processes

27/05/2022:

• • • • • • Reinforcement Learning (K-armed Bandit, Q-Learning det/nondet)

          • Lab 4 on RL (Dr. Cipollone)