| 000 | 01274nam a22002537a 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 005 | 20220712211602.0 | ||
| 008 | 220712b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9781789806076 | ||
| 040 | _c0 | ||
| 082 | _a006.31 NAT | ||
| 092 | _20 | ||
| 245 |
_aData science algorithms in a week _btop 7 algorithms for scientific computing, data analysis, and machine learning _cDávid Natingga |
||
| 250 | _a2nd ed. | ||
| 260 |
_aBirmingham, UK _bPackt Publishing _c2018 |
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| 520 | _aTable of ContentsClassification using K Nearest NeighborsNaive BayesDecision TreesRandom ForestsClustering into K clustersRegressionTime Series AnalysisPython ReferenceStatisticsGlossary of Algorithms and Methods in Data Science | ||
| 520 | _aChoosing the right algorithm is often a key differentiator in the success or failure of a data model and its optimal performance. This book introduces you to 7 key machine learning algorithms which you can easily grasp within a week and includes exercises that will help you learn different aspects of machine learning without any hassle. | ||
| 650 | _aMachine learning. | ||
| 650 | _aComputer algorithms. | ||
| 650 |
_aScience _xData processing. |
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| 843 | _aPhotocopy | ||
| 887 | _2CamTech Library | ||
| 942 |
_2ddc _cBK _n0 |
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| 999 |
_c402 _d402 |
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