| 000 | 01825cam a22003738i 4500 | ||
|---|---|---|---|
| 001 | 21336577 | ||
| 003 | NUST | ||
| 005 | 20220816122049.0 | ||
| 008 | 191130s2020 enk b 001 0 eng | ||
| 010 | _a 2019040762 | ||
| 020 |
_a9781108470049 _q(hardback) |
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| 020 |
_a9781108455145 _q(paperback) |
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| 020 |
_z9781108679930 _q(epub) |
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| 040 |
_aLBSOR/DLC _beng _erda _cDLC |
||
| 042 | _apcc | ||
| 050 | 0 | 0 |
_aQ325.5 _b.D45 2020 |
| 082 | 0 | 0 |
_a006.31, DEI _223 |
| 100 | 1 |
_aDeisenroth, Marc Peter, _eauthor. _952057 |
|
| 245 | 1 | 0 |
_aMathematics for machine learning / _cMarc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong. |
| 263 | _a1912 | ||
| 264 | 1 |
_aCambridge ; _aNew York, NY : _bCambridge University Press, _c2020. |
|
| 300 | _apages cm | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_aunmediated _bn _2rdamedia |
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| 338 |
_avolume _bnc _2rdacarrier |
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| 505 | 0 | _aIntroduction and motivation (Page-1), Linear algebra (Page-8),Analytic geometry (Page-57), Matrix decompositions (Page-82),Vector calculus (Page-120), Probability and distribution (Page-152),Continuous optimization (Page-201),When models meet data (Page-225),Linear regression (Page-260), Dimensionality reduction with principal component analysis (Page-286), Density estimation with Gaussian mixture models (Page-314),Classification with support vector machines. (Page-335). | |
| 650 | 0 |
_aMachine learning _xMathematics. _952058 |
|
| 700 | 1 |
_aFaisal, A. Aldo, _eauthor. _952059 |
|
| 700 | 1 |
_aOng, Cheng Soon, _eauthor. _952060 |
|
| 776 | 0 | 8 |
_iOnline version: _aDeisenroth, Marc Peter. _tMathematics for machine learning. _dCambridge, United Kingdom ; New York : Cambridge University Press, 2020. _z9781108679930 _w(DLC) 2019040763 |
| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
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| 942 |
_2ddc _cBK |
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| 999 |
_c591059 _d591059 |
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