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

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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
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Concept learning Maria Simi, 2011/2012 Machine Learning, Tom
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Concept learning Maria Simi, 2011/2012 Machine Learning, Tom
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Concept learning Maria Simi, 2011/2012 Machine Learning, Tom
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Concept learning Maria Simi, 2011/2012 Machine Learning, Tom
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Concept learning Maria Simi, 2011/2012 Machine Learning, Tom
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Concept learning Maria Simi, 2011/2012 Machine Learning, Tom
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Concept learning Maria Simi, 2011/2012 Machine Learning, Tom
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Concept learning Maria Simi, 2011/2012 Machine Learning, Tom
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Concept learning Maria Simi, 2011/2012 Machine Learning, Tom
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Concept learning Maria Simi, 2011/2012 Machine Learning, Tom
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Concept learning Maria Simi, 2011/2012 Machine Learning, Tom
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Concept learning Maria Simi, 2011/2012 Machine Learning, Tom
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Concept learning Maria Simi, 2011/2012 Machine Learning, Tom
PPT - Concept learning PowerPoint Presentation, free download - ID:5536695
Concept learning Maria Simi, 2011/2012 Machine Learning, Tom
Adler School of Professional Psychology Catalog 2011 - 2012
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