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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).

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