• Machine Learning Research Progress

Machine Learning Research Progress

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Overview

As a broad subfield of artificial intelligence, machine learning is concerned with the design and development of algorithms and techniques that allow computers to "learn". At a general level, there are two types of learning: inductive, and deductive. Inductive machine learning methods extract rules and patterns out of massive data sets. The major focus of machine learning research is to extract information from data automatically, by computational and statistical methods. Hence, machine learning is closely related not only to data mining and statistics, but also theoretical computer science. This book presents new and important research in this field.

Product Details

ISBN-13: 9781604566468
ISBN-10: 1604566469
Publisher: Nova Science Publishers, Incorporated
Publication date: 2010
Pages: 488
Product dimensions: Height: 10 Inches, Length: 7.25 Inches, Weight: 2.27957978908 Pounds, Width: 1.25 Inches
Author: Hannah Peters, Mia Vogel
Language: en
Binding: Hardcover

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