An Introductory ML Educational Program hosted by the UofT AI Society. A 12-week program consisting of: (Phase 1) Lectures & Tutorials and (Phase 2) Projects.
1 - Introduction & Datatypes 2 - Data Manipulation - Pandas 3 - Data Manipulation - Numpy 4 - Classification & Regression 5 - Neural Networks I 6 - Neural Networks II 7 - Computer Vision (CNNs) 8 - Natural Language Processing (RNNs)
- Reinforcement Learning (RL)
- Markov Decision Process (MDP)
- Genetic Algorithms
- Decision Trees
- K-means Clustering
- Minimax
- Hidden markov model
(All credits to the University of Toronto Artificial Intelligence Society