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