000			01170nam a22002175i 4500
003			MX-MeUAM
005			20240131113921.0
008			240131s2018 sz ad gr |||| 0|eng d
020			_a9783319877884
020			_a9783319644103 e-book
040			_dMX-MeUAM
050		4	_aQA76.9.M35 _bF67 2018
100	1		_aForsyth, David.
245	1	0	_aProbability and statistics for computer science / _cDavid Forsyth. _h
250			_a1st ed.
260			_aCham, Switzerland : _bSpringer, _c2018
300			_axxiv, 367 p. : _bil. ; _c28 cm.
505	0		_a1 Notation and conventions -- 2 First Tools for Looking at Data -- 3 Looking at Relationships -- 4 Basic ideas in probability -- 5 Random Variables and Expectations -- 6 Useful Probability Distributions -- 7 Samples and Populations -- 8 The Significance of Evidence -- 9 Experiments -- 10 Inferring Probability Models from Data -- 11 Extracting Important Relationships in High Dimensions -- 12 Learning to Classify -- 13 Clustering: Models of High Dimensional Data -- 14 Regression -- 15 Markov Chains and Hidden Markov Models -- 16 Resources.
650		4	_aComputación _xMétodos estadísticos.
942			_cLIBRO
999			_c259923 _d259922