Introduction to Machine Learning
Download or Read eBook Introduction to Machine Learning PDF 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.
| Author | : Ethem Alpaydin |
| Publisher | : MIT Press |
| Total Pages | : 639 |
| Release | : 2014-08-22 |
| ISBN-10 | : 9780262028189 |
| ISBN-13 | : 0262028182 |
| Rating | : 4/5 (89 Downloads) |
Book Synopsis Introduction to Machine Learning by : Ethem Alpaydin
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.
