Lecture XII: Machine Intelligence (Andrey Ustyuzhanin)
Lecture XIII: Linear Models (Andrey Ustyuzhanin)
Lecture XIV: Decision tree models (Andrey Ustyuzhanin)
Lecture XV: Neural Networks (Andrey Ustyuzhanin)
Lecture XVI: Generative Adversarial Networks (Andrey Ustyuzhanin)
Lecture XVII: Bayesian Deep Learning. Part 1 (Nicola Serra)
Lecture XVIII: Bayesian Deep Learning. Part 2 (Nicola Serra)
Lecture XIX: Bayesian Deep Learning. Part 3 (Nicola Serra)
