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 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . inputs.

CSC 411 / CSC D11 Acknowledgements Conventions and Notation Scalars are written with lower-case italics, e.g.,x. Column-vectors are written in bold, lower-case: x, and matrices are written in bold uppercase: B. The set of real numbers is represented by R; N-dimensional Euclidean space is writtenRN. Aside:

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