User:Summivox/Books/ML 20150301

Machine Learning

 * Bayesian
 * Bayes' theorem
 * Naive Bayes classifier
 * Naive Bayes spam filtering
 * Exponential family


 * Density
 * Kernel density estimation
 * Kernel regression


 * SVM
 * Perceptron
 * Support vector machine
 * Kernel method
 * Logistic regression


 * Optimization
 * Quadratic programming
 * Karush–Kuhn–Tucker conditions
 * Regularization (mathematics)


 * Misc
 * K-nearest neighbors algorithm
 * Maximum a posteriori estimation
 * Bias–variance tradeoff
 * Poisson distribution