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Название: Introduction to Machine Learning
автор: Ethem Alpaydin
Издательство: The MIT Press
Год выпуска: 2014
ISBN: 978-0262028189
Формат: PDF
Размер: 26 MB
Количество страниц: 640
Язык: Английский
Описание: The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. Subjects include supervised learning; Bayesian decision theory; parametric, semi-parametric, and nonparametric methods; multivariate analysis; hidden Markov models; reinforcement learning; kernel machines; graphical models; Bayesian estimation; and statistical testing.
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