Machine Learning Methods Hang Li by Hang Li 9789819939169, 9789819939176, 981993916X, 9819939178 instant download after payment.

This book is a popular machine learning textbook and reference book in China. The first edition was published in March 2012 under the title Statistical Learning Methods focusing on supervised learning, including perceptron, k-nearest neighbor method, naive Bayes method, decision tree, logistic regression, maximum entropy model, support vector machine, boosting method, EM algorithm, hidden Markov model, and conditional random field. The second edition was published in May 2019, with additional content on unsupervised learning, including the clustering method, singular value decomposition, principal component analysis, latent semantic analysis, probabilistic latent semantic analysis, Markovchain MonteCarlo method, latent Dirichlet assignment, and PageRank Algorithm. By the end of 2021, the two editions had been printed more than 30 times and sold more than 350,000 copies.