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Feb 4, 2022 · xvii, 414 pages : 25 cm. Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data. Includes bibliographical references and indexes.
Mar 1, 1997 · Machine Learning Tom Mitchell. by. Tom M. Mitchell. Publication date. 1997-03-01. Topics. Decision tree learning, Artificial Neural Network. Collection. opensource.
Applying machine learning algorithms to disk drive reads - pg/intellidrive
Machine Learning, Tom Mitchell, McGraw Hill, 1997. Machine Learning is the study of computer algorithms that improve automatically through experience. This book provides a single source introduction to the field.
CMU School of Computer Science
Over the past 50 years the study of Machine Learning has grown from the efforts of a handful of computer en-gineers exploring whether computers could learn to play games, and a field of Statistics that largely ignored computational considerations, to a broad discipline that has produced fundamental statistical-computational theories of learning ...
Title: Machine Learning. Author: Mitchell, Tom M. (Tom Michael), 1951-. Note: main text c1997; additional chapters c2017. Link: PDF with commentary at CMU.
Tom Mitchell | PDF. 1_MachineLearning-TomMitchell - Free download as PDF File (.pdf), Text File (.txt) or read online for free. Machine Learning is the study of computer algorithms that improve automatically through experience. Applications range from datamining programs that discover general rules in large data sets, to information filtering ...
Artificial intelligence. Author. Tom M. Mitchell. Publisher. McGraw Hill, 2017. ISBN. 1259096955, 9781259096952. Length. 414 pages.
This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper...
