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Tom Michael Mitchell (born August 9, 1951) is an American computer scientist and the Founders University Professor at Carnegie Mellon University (CMU). He is a founder and former Chair of the Machine Learning Department at CMU.
Articles 1–20. Founders University Professor of Machine Learning, Carnegie Mellon University - Cited by 80,561 - Machine Learning - cognitive neuroscience - natural language...
Tom Mitchell. Founders University Professor Machine Learning Department Block Center for Technology and Society School of Computer Science Carnegie Mellon University. Resume. Tom.Mitchell@cmu.edu , 412 268 2611, GHC 8203 Assistant: Mary Stech , 412 268 6869.
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.
20 de oct. de 2015 · http://www.weforum.org/ Tom Mitchell introduces us to Carnegie Mellon’s Never Ending learning machines: intelligent computers that learn continuously with little need for human input. He says ...
This course covers the theory and practical algorithms for machine learning from a variety of perspectives. We cover topics such as Bayesian networks, decision tree learning, Support Vector Machines, statistical learning methods, unsupervised learning and reinforcement learning.
Machine Learning. Tom M. Mitchell. McGraw-Hill, 1997 - Algorithmes - 414 pages. This book covers the field of machine learning, which is the study of algorithms that allow computer programs...
