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 |