000			01719nam a22002777a 4500
005			20250630144223.0
008			250630b |||||||| |||| 00| 0 eng d
020			_a9781032937908
040			_aCSL _cCSL
041			_2eng _aeng
084			_aD65,8(B):(S:72) Q2;Q7 _qCSL
100			_a Rogers, Simon _eauthor. _9814926
245			_a First Course in Machine Learning
250			_a2nd ed.
260			_aBoca Raton : _bCRC Press/Taylor & Franics, _c2017.
300			_axxix, 397p. _b: ill. _c; 23 cm.
490			_aChapman & Hall/CRC Machine Learning & Pattern Recognition series
500			_aIncludes index.
520			_aA First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC." —Devdatt Dubhashi, Professor, Department of Computer Science and Engineering, Chalmers University, Sweden "This textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering topics that have become mainstream in machine learning over the last decade.
650			_aBayesian methods.
650			_aclassification. _9229842
650			_aLinear modelling. _9814927
650			_aClustering. _9733203
700			_aGirolami, Mark _eauthor. _9472463
942			_2CC _cTEXL _e2nd ed. _hD65,8(B):(S:72) Q2;Q7 _n0
999			_c1433121 _d1433121