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Machine Learning, Tom Mitchell , McGraw Hill, 1997.

Machine Learning, Tom Mitchell, McGraw Hill, 1997. 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 systems that

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A few useful things to know about machine learning

2012101&ensp·&enspMachine Learning 29 (1997), 103130. Google Scholar Digital Library Hulten, G. and Domingos, P. Mining complex models from arbitrarily large databases in constant time. In Proceedings of the 8 th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (Edmonton, Canada, 2002). ACM Press, NY, 525531.

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[PDF] Machine learning and data mining Semantic

2021311&ensp&#[email protected]{Mitchell1999MachineLA, title={Machine learning and data mining}, author={Tom Michael Mitchell}, journal={Communications of the ACM}, year={1999}, volume={42}, pages={30 36} } Tom Michael Mitchell Published 1999 Computer Science Communications of

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200741&ensp·&enspData Mining: Practical Machine Learning Tools and Techniques, Second Edition Author: Ian H. Witten, Eibe FrankPublisher: Morgan Kaufmann (2005) Amazon :(2 ) (2006)

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Tom Mitchell's Home Page

Machine Learning Department School of Computer Science Carnegie Mellon University. Resume. [email protected], 412 268 2611, GHC 8203 Assistant: Mary Stech, 412 2686869. What is Machine Learning, and where is it headed? Video interview (5 min)

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MSI Advertises GE76 Raider Laptop As a Mining

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