Introduction to Machine Learning (Adaptive Computation and Machine Learning)

Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Автор
 
Год
 
Страниц
 
400
ISBN
 
0262012111
Издатель
 
The MIT Press
Категория
 
Обучение машины
Искать в интернет библиотекахКупить

Содержание:

Сокровища небес, Принц Зингары

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, recognize faces or spoken speech, 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. It discusses many methods based in different fields, including statistics, pattern recognition, neural networks, artificial intelligence, signal processing, control, and data mining, in order to present a unified treatment of machine learning problems and solutions. All learning algorithms are explained so that the student can easily move from the equations in the book to a computer program. The book...

Похожие книги

Machine Intelligence 14: Applied Machine Intelligence (No.14)Machine Intelligence 14: Applied Machine Intelligence (No.14)
Автор: K. Furukawa, D. Michie, S. Muggleton
Год: 1996
Machine Design (4th Edition)Machine Design (4th Edition)
Автор: Robert L. Norton
Год: 2010
Machinic ExtimacyMachinic Extimacy
Автор: Marc von Boemcken
Год: 2010
Balancing machineBalancing machine
Год: 2011