000 | 00867nam a2200217 4500 | ||
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005 | 20250709140725.0 | ||
008 | 250709b |||||||| |||| 00| 0 eng d | ||
020 | _a9783031023620 | ||
082 |
_a006.3 SAR _bSAR |
||
100 | _aSarang, Poornachandra | ||
245 |
_aThinking data science _b: a data science practitioner's guide |
||
260 |
_aSwitzerland: _bSpringer Nature, _c2023. |
||
300 | _axx, 358p. | ||
490 | _aThe Springer Series in Applied Machine Learning | ||
520 | _aThinking Data Science will help practising data scientists, academicians, researchers, and students who want to build ML models using the appropriate algorithms and architectures, whether the data be small or big. | ||
650 | _a Big data | ||
650 | _aData mining | ||
650 | _aMachine learning | ||
650 | _aMachine learning - Algorithms and techniques | ||
942 |
_2ddc _n0 _cC |
||
999 |
_c30510 _d30510 |