Introduction to Machine Learning
Author | : Ethem Alpaydin |
Publisher | : MIT Press |
Total Pages | : 639 |
Release | : 2014-08-22 |
ISBN-10 | : 9780262028189 |
ISBN-13 | : 0262028182 |
Rating | : 4/5 (89 Downloads) |
Download or read book Introduction to Machine Learning written by Ethem Alpaydin and published by MIT Press. This book was released on 2014-08-22 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer perceptrons -- Local models -- Kernel machines -- Graphical models -- Brief contents -- Hidden markov models -- Bayesian estimation -- Combining multiple learners -- Reinforcement learning -- Design and analysis of machine learning experiments.