Concept learning Maria Simi, 2011/2012 Machine Learning, Tom

Introduction to machine learning  Introduction to machine learning  When appropriate and when not appropriate  Task definition  Learning methodology: design, experiment, evaluation  Learning issues: representing hypothesis  Learning paradigms  Supervised learning  Unsupervised learning  Reinforcement learning  Next week …
Bibliography  Machine Learning, Tom Mitchell, Mc Graw-Hill International Editions, 1997 (Cap 2).

Concept learning Maria Simi, 2011/2012 Machine Learning, Tom Mitchell Mc Graw-Hill International Editions, 1997 (Cap 1, 2). - ppt download

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Concept learning Maria Simi, 2011/2012 Machine Learning, Tom Mitchell Mc Graw-Hill International Editions, 1997 (Cap 1, 2). - ppt download

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PPT - Concept learning PowerPoint Presentation, free download - ID:5536695

MACHINE LEARNING (Mcgraw-Hill by Mitchell, Thom

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Concept learning Maria Simi, 2011/2012 Machine Learning, Tom Mitchell Mc Graw-Hill International Editions, 1997 (Cap 1, 2). - ppt download

Concept learning Maria Simi, 2011/2012 Machine Learning, Tom Mitchell Mc Graw-Hill International Editions, 1997 (Cap 1, 2). - ppt download

Bulletin - 2011-2012 by Columbia Engineering School - Issuu