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Harvard CS50 AI Week 4: Learning — Supervised Learning, k-NN, SVM, Reinforcement Learning Q-learning & Nim

Week 4 enters ML: supervised classification (k-NN, SVM, Perceptron), model evaluation, RL basics (MDP, Q-learning, ε-greedy). Projects: Shopping (purchase prediction with k-NN) and Nim (learning to play via Q-learning).

CMU 07-280 Stage Review I: From Search Problems to Supervised Learning

Lectures 1–12 form one decision pipeline: define states, moves, and objectives, then use heuristics, losses, regularization, and backpropagation to control an otherwise intractable search space.