Introduction to machine learning

• Main Author: Alpaydin, Ethem (Author)
• Format: Electronic eBook
• Language: English
• Published: Cambridge, Massachusetts : The MIT Press, [2014]
• Edition: Third edition.
• Series: Adaptive computation and machine learning.
• Subjects: Machine learning.; elektronické knihy; electronic books
• ISBN: 9780262325745; 9780262028189
• Physical Description: 1 online zdroj (xxii, 613 pages) : illustrations.

Machine learning is rapidly becoming a skill that computer science students must master before graduation. The third edition of this title reflects this shift, with added support for beginners, including selected solutions for exercises and additional example data sets (with code available online)....

Table of Contents:

• 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.