Machine Learning Research Progress

Machine Learning Research Progress

Hardback (21 May 2010)

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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.

Book information

ISBN: 9781604566468
Publisher: Nova Science Publishers Inc
Imprint: Nova Science Publishers
Pub date:
DEWEY: 006.31
DEWEY edition: 22
Language: English
Number of pages: 488
Weight: 1034g
Height: 259mm
Width: 183mm
Spine width: 33mm