000 01019nam a22001937a 4500
003 OSt
005 20200302161731.0
008 190201t xxu||||| |||| 00| 0 eng d
020 _a9781491962299
040 _cMIU_nadiah
050 _aQ325.5
_b.G47 2018
100 _aGeron, Aurelien
_92822
245 _aHands-on machine learning with scikit-learn and tensorflow/
_cAurelien Geron
260 _aCarlifonia:
_bO'Reilly Media,
_c2018.
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
942 _2lcc
_cBK
999 _c1846
_d1846