The offical notes of Andrew Ng Machine Learning in Stanford University
- 1. Supervised learning, Linear Regression, LMS algorithm, The normal equation, Probabilistic interpretat, Locally weighted linear regression , Classification and logistic regression, The perceptron learning algorith, Generalized Linear Models, softmax regression
- 2. Generative Learning algorithms, Gaussian discriminant analysis, Naive Bayes, Laplace smoothing, Multinomial event model