000			02225 a2200217 4500
005			20251010161301.0
008			251010b |||||||| |||| 00| 0 eng d
020			_a9780262039406
082			_a006.3 _bMohF
100			_aMohri, Mehryar
245			_aFoundations of Machine Learning / _cMehryar Mohri, Afshin Rostamizadeh & Ameet Talwalkar
250			_a2nd ed.
260			_bMIT Press : _aLondon , _c©2018.
300			_axv, 486p.
440			_aAdaptive Computation and Machine Learning :
520			_aThis book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics. Foundations of Machine Learning is unique in its focus on the analysis and theory of algorithms. The first four chapters lay the theoretical foundation for what follows; subsequent chapters are mostly self-contained. Topics covered include the Probably Approximately Correct (PAC) learning framework; generalization bounds based on Rademacher complexity and VC-dimension; Support Vector Machines (SVMs); kernel methods; boosting; on-line learning; multi-class classification; ranking; regression; algorithmic stability; dimensionality reduction; learning automata and languages; and reinforcement learning. Each chapter ends with a set of exercises. Appendixes provide additional material including concise probability review.This second edition offers three new chapters, on model selection, maximum entropy models, and conditional entropy models. New material in the appendixes includes a major section on Fenchel duality, expanded coverage of concentration inequalities, and an entirely new entry on information theory. More than half of the exercises are new to this edition
650			_aMachine Learning
700			_aTalwalkar, Ameet
700			_aRostamizadeh, Afshin
942			_cBK
999			_c6761 _d6761