000 | a | ||
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999 |
_c30956 _d30956 |
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008 | 220510b xxu||||| |||| 00| 0 eng d | ||
020 | _a9780815384106 | ||
082 |
_a 006.31 _bFAU |
||
100 | _aA.C. Faul | ||
245 | _a Concise introduction to machine learning | ||
260 |
_bCRC Press, _c2020 _aBoca Raton : |
||
300 |
_axix, 314 p. ; _bill., _c23 cm |
||
365 |
_b44.99 _cGBP _d102.80 |
||
650 | _aMachine learning | ||
650 | _aAutoencoder | ||
650 | _a Bayesian | ||
650 | _a Beta distribution | ||
650 | _aBias | ||
650 | _a Block matrix inversion | ||
650 | _aCumulative distribution | ||
650 | _aData samples | ||
650 | _aDirichlet distribution | ||
650 | _a Eigenvalues | ||
650 | _aHidden neurons | ||
650 | _aLatent variables | ||
650 | _aMarginal likelihood | ||
650 | _a Markov chain | ||
650 | _a Neural network | ||
650 | _aNeurons | ||
650 | _aNormal distribution | ||
650 | _a Density function | ||
650 | _aMass function | ||
650 | _a Random variable | ||
650 | _aValid kernel | ||
650 | _aWishart distribution | ||
650 | _aProbability | ||
942 |
_2ddc _cBK |