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Machine Learning and Data Mining Lecture Notes

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Machine Learning and Data MiningLecture NotesCSC 411/D11Computer Science DepartmentUniversity of TorontoVersion: February 6, 2012Copyrightc 2010 Aaron Hertzmann and David FleetCSC 411 / CSC D11CONTENTSContentsConventions and Notationiv1Introduction to Machine of Machine Learning . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . simple problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ..22Linear 1D case.

Machine learning allows us to program computers by example, which can be easier than writing code the traditional way. 3. The Stats View. Machine learning is the marriage of computer science and statistics: com-putational techniques are applied to statistical problems. Machine learning has been applied

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