Notes

Intelligent Agents

S2021, LN, PDF

Uninformed Search

S2021, LN, Notebook

Advanced Heuistics

S2021, LN, Notebook

Local Search

S2021, LN, Notebook

Search in Continuous Space (Convex Optimization and Gradient descent)

S2021, LN, Notebook

S2021, LN, PDF

Adversarial Search (minimax, alpha-beta pruning, expectimax)

S2021, LN, Notebook

Baysian Networks - Part 1

S2021, LN, Notebook

Baysian Networks - Part 2

S2021, LN, Notebook

Baysian Networks - Part 3

S2021, LN, Notebook

Temporal Probability Models - Part 1

S2021, LN, Notebook

Temporal Probability Models - Part 2

S2021, LN, Notebook

Temporal Probability Models - Part 3

S2021, LN, Notebook

Temporal Probability Models - Part 4

S2021, LN, Notebook

Learning a Decision Tree (classification)

S2021, LN, Notebook

Neural Networks & MLPs

S2021, LN, Notebook

Deep Neural Networks (CNNs,...)

S2021, LN, Notebook

Reinforcement Learning

S2021, LN, Notebook

Introduction to Markov Decision Process

F2021, LN