Lecture 4 Learning
Supervised Learning. Nearest-Neighbor Classification. Perceptron Learning. Support Vector Machines. Regression. Loss Functions. Overfitting. Regularization. Reinforcement Learning. Markov Decision Processes. Q-Learning. Unsupervised Learning. k-means Clustering.