机器学习小结

CS229

Supervised Learning

• Linear Regression   

        Least mean square rules LMS

        Locally weighted linear regression LWR

•   Classification and logestic regression

        sigmoid function

        peception learning algorithm

        Newton's method

• Generalized Linear Models GLM

        exponential family

        softmax regression

• Generative Learning Algorithms

        Gaussian discriminant analysis

        Naive Bayes

        Laplace smoothing

• Support vector machine

        notes