/UofT-LearnAI

An Introductory ML Educational Program hosted by the UofT AI Society. Topics include, Data Manipulation, Classification & Regression, Neural Networks, Computer Vision (CNNs), Natural Language Processing (RNNs), Reinforcement Learning (RL), Markov Decision Process (MDP), Genetic Algorithms, Decision Trees, K-means Clustering, Minimax, Hidden Markov Model.

Primary LanguageJupyter Notebook

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LearnAI

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.

Topics:

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)

Auxiliary Video Topics

  • Reinforcement Learning (RL)
  • Markov Decision Process (MDP)
  • Genetic Algorithms
  • Decision Trees
  • K-means Clustering
  • Minimax
  • Hidden markov model

Sources

(All credits to the University of Toronto Artificial Intelligence Society