TY  - BOOK
AU  - Mohri,  Mehryar
AU  - Rostamizadeh, Afshin 
AU  - Talwalkar, Ameet 
TI  - Foundations of machine learning
SN  - 9780262018258
U1  - 006.31 
PY  - 2012///
CY  - Cambridge
PB  - MIT Press
KW  - Machine Learning
KW  - Computer Algorithms
N1  - Foundations of Machine Learning fills the need for a general textbook that also offers theoretical details and an emphasis on proofs. Certain topics that are often treated with insufficient attention are discussed in more detail here; for example, entire chapters are devoted to regression, multi-class classification, and ranking. The first three chapters lay the theoretical foundation for what follows, but each remaining chapter is mostly self-contained. The appendix offers a concise probability review, a short introduction to convex optimization, tools for concentration bounds, and several basic properties of matrices and norms used in the book
N2  - Fundamental topics in machine learning are presented along with theoretical and conceptual tools for the discussion and proof of algorithms
ER  -