Lectures
Lectures are watched on-demand.
| date | lecture | topics | |
|---|---|---|---|
| Lecture 0 | 2025-01-27T00:00:00-05:00 | Search | graph search, heuristic search, adversarial search, alpha-beta pruning |
| Lecture 1 | 2025-02-10T00:00:00-05:00 | Knowledge | knowledge representation, propositional logic, inference, resolution, first-order logic |
| Lecture 2 | 2025-02-24T00:00:00-05:00 | Uncertainty | probability, random variables, probabilistic inference, Bayesian Networks, Markov Models |
| Lecture 3 | 2025-03-10T00:00:00-04:00 | Optimization | local search, hill climbing, constraint satisfaction, backtracking search |
| Lecture 4 | 2025-03-24T00:00:00-04:00 | Learning | classification, regression, super vector machines, reinforcement learning, clustering |
| Lecture 5 | 2025-04-07T00:00:00-04:00 | Neural Networks | feed-forward networks, backpropagation, convolutional networks, recurrent networks |
| Lecture 6 | 2025-04-21T00:00:00-04:00 | Language | context-free grammar, n-gram models, Naive Bayes, word2vec, transformers |