000 | 01040nam a2200229 4500 | ||
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005 | 20250206174145.0 | ||
008 | 250204b |||||||| |||| 00| 0 eng d | ||
020 | _a9781032937908 | ||
082 | _a006.31 ROG | ||
100 | _aRogers, Simon | ||
245 |
_aA First course in machine learning/ _cby Simon Rogers & Mark Girolami |
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250 | _a2nd ed. | ||
260 |
_aBoca Raton: _bCRC Press, _cc2020. |
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300 | _axxix, 397 p. | ||
504 | _aIncludes bibliographical references and index. | ||
520 | _aThe new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling, inference, and prediction, providing ‘just in time’ the essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts | ||
650 | _aDatabase Management | ||
650 | _aData Mining | ||
650 | _aStatistics | ||
710 | _aGirolami, Mark | ||
942 |
_2ddc _cC |
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999 |
_c30177 _d30177 |