000 | 01019nam a22001937a 4500 | ||
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003 | OSt | ||
005 | 20200302161731.0 | ||
008 | 190201t xxu||||| |||| 00| 0 eng d | ||
020 | _a9781491962299 | ||
040 | _cMIU_nadiah | ||
050 |
_aQ325.5 _b.G47 2018 |
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100 |
_aGeron, Aurelien _92822 |
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245 |
_aHands-on machine learning with scikit-learn and tensorflow/ _cAurelien Geron |
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260 |
_aCarlifonia: _bO'Reilly Media, _c2018. |
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300 |
_a549 p. ; _bill. : _c24 cm. |
||
520 | _aExplore the machine learning landscape, particularly neural nets Use scikit-learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scalin. | ||
650 |
_aMachine Learning _92823 |
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942 |
_2lcc _cBK |
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999 |
_c1846 _d1846 |