Introduction - If you have any usage issues, please Google them yourself
Statistical learning method is an important subject in computer and its application field. "Statistical learning method" comprehensively and systematically introduces the main method of statistical learning, especially the supervised learning method, including perceptron, k nearest neighbor method, Naive Bayesian method, decision tree, logistic regression and the maximum entropy model, support vector machine, lifting method, EM algorithm, hidden Markov model and conditional random field etc.. In addition to the introduction of the first chapter and the last chapter, a method is introduced in each chapter.