Introduction to Machine Learning

Introduction to Machine Learning
Author :
Publisher : MIT Press
Total Pages : 639
Release :
ISBN-10 : 9780262028189
ISBN-13 : 0262028182
Rating : 4/5 (89 Downloads)

Book Synopsis Introduction to Machine Learning by : Ethem Alpaydin

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.


Introduction to Machine Learning Related Books

Introduction to Machine Learning
Language: en
Pages: 639
Authors: Ethem Alpaydin
Categories: Computers
Type: BOOK - Published: 2014-08-22 - Publisher: MIT Press

DOWNLOAD EBOOK

Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonpa
Machine Learning
Language: en
Pages: 225
Authors: Ethem Alpaydin
Categories: Computers
Type: BOOK - Published: 2016-10-07 - Publisher: MIT Press

DOWNLOAD EBOOK

A concise overview of machine learning—computer programs that learn from data—which underlies applications that include recommendation systems, face recogni
Machine Learning, revised and updated edition
Language: en
Pages: 280
Authors: Ethem Alpaydin
Categories: Computers
Type: BOOK - Published: 2021-08-17 - Publisher: MIT Press

DOWNLOAD EBOOK

A concise overview of machine learning--computer programs that learn from data--the basis of such applications as voice recognition and driverless cars. Today,
Deep Learning
Language: en
Pages: 801
Authors: Ian Goodfellow
Categories: Computers
Type: BOOK - Published: 2016-11-10 - Publisher: MIT Press

DOWNLOAD EBOOK

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and res
Foundations of Machine Learning, second edition
Language: en
Pages: 505
Authors: Mehryar Mohri
Categories: Computers
Type: BOOK - Published: 2018-12-25 - Publisher: MIT Press

DOWNLOAD EBOOK

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machin