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Machine Learning
. Ed(S): Michalski, R. S.; Carbonell, J. G.; Mitchell, T. M.
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Description for Machine Learning
Paperback. With contributions by numerous experts Editor(s): Michalski, R. S.; Carbonell, J. G.; Mitchell, T. M. Series: Symbolic computation/Artificial Intelligence. Num Pages: 572 pages, 25 black & white illustrations, biography. BIC Classification: TGB; UYQM. Category: (P) Professional & Vocational. Dimension: 244 x 170 x 30. Weight in Grams: 999.
The ability to learn is one of the most fundamental attributes of intelligent behavior. Consequently, progress in the theory and computer modeling of learn ing processes is of great significance to fields concerned with understanding in telligence. Such fields include cognitive science, artificial intelligence, infor mation science, pattern recognition, psychology, education, epistemology, philosophy, and related disciplines. The recent observance of the silver anniversary of artificial intelligence has been heralded by a surge of interest in machine learning-both in building models of human learning and in understanding how machines might be endowed with the ability to learn. This renewed interest has ... Read more
The ability to learn is one of the most fundamental attributes of intelligent behavior. Consequently, progress in the theory and computer modeling of learn ing processes is of great significance to fields concerned with understanding in telligence. Such fields include cognitive science, artificial intelligence, infor mation science, pattern recognition, psychology, education, epistemology, philosophy, and related disciplines. The recent observance of the silver anniversary of artificial intelligence has been heralded by a surge of interest in machine learning-both in building models of human learning and in understanding how machines might be endowed with the ability to learn. This renewed interest has ... Read more
Product Details
Format
Paperback
Publication date
2013
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
572
Condition
New
Series
Symbolic computation/Artificial Intelligence
Number of Pages
572
Place of Publication
Berlin, Germany
ISBN
9783662124079
SKU
V9783662124079
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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