Introduction to Machine Learning is popular PDF and ePub book, written by Ethem Alpaydin in 2014-08-22, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Introduction to Machine Learning can be Read Online from any device for your convenience.
Introduction to Machine Learning Book PDF Summary
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.
Detail Book of Introduction to Machine Learning PDF
- Author : Ethem Alpaydin
- Release : 22 August 2014
- Publisher : MIT Press
- ISBN : 9780262028189
- Genre : Computers
- Total Page : 639 pages
- Language : English
- PDF File Size : 11,6 Mb
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