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Machine Learning and Its Applications
. Ed(S): Paliouras, Georgios; Karkaletsis, Vangelis; Spyropoulos, Constantine D.
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Description for Machine Learning and Its Applications
Paperback. Examining the capabilities of machine learning methods and ideas on how they apply to real-world problems, this text assesses machine learning, then introduces applications of ML techniques in fields such as data mining, knowledge discovery, human language technology, and user modelling. Editor(s): Paliouras, Georgios; Karkaletsis, Vangelis; Spyropoulos, Constantine D. Series: Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence. Num Pages: 324 pages, biography. BIC Classification: UYQM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 18. Weight in Grams: 478.
In recent years machine learning has made its way from artificial intelligence into areas of administration, commerce, and industry. Data mining is perhaps the most widely known demonstration of this migration, complemented by less publicized applications of machine learning like adaptive systems in industry, financial prediction, medical diagnosis and the construction of user profiles for Web browsers.
This book presents the capabilities of machine learning methods and ideas on how these methods could be used to solve real-world problems. The first ten chapters assess the current state of the art of machine learning, from symbolic concept learning and conceptual clustering ... Read more
In recent years machine learning has made its way from artificial intelligence into areas of administration, commerce, and industry. Data mining is perhaps the most widely known demonstration of this migration, complemented by less publicized applications of machine learning like adaptive systems in industry, financial prediction, medical diagnosis and the construction of user profiles for Web browsers.
This book presents the capabilities of machine learning methods and ideas on how these methods could be used to solve real-world problems. The first ten chapters assess the current state of the art of machine learning, from symbolic concept learning and conceptual clustering ... Read more
Product Details
Format
Paperback
Publication date
2001
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
324
Condition
New
Series
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence
Number of Pages
324
Place of Publication
Berlin, Germany
ISBN
9783540424901
SKU
V9783540424901
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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