Schedule

This schedule is tentative and may change.

Date	Topic	Materials
August 19	Course Introduction
August 21	Supervised Learning	Linear Regression
August 23	Supervised Learning	Logistic Regression
August 26	Multi-class Classification	Logistic Regression Regularization
August 28	Probability Theory Review	Probability Theory
August 30	Linear Discriminant Analysis	Linear Discriminant Analysis
September 4	Naive Bayes Classifier	Naive Bayes Classifier
September 6	Kernels	Kernels
September 9	Support Vector Machine	Support Vector Machine
September 11	Support Vector Machine	Support Vector Machine
September 13	Perceptrons	Perceptron
September 16	Artificial Neural Networks and Backpropagation	Neural Networks
September 18	Bias-Variance Tradeoff	Bias-Variance Tradeoff
September 20	Decision Trees	Decision Trees

Last updated on Aug 19, 2024