000 02340cam a2200397Ii 4500
999 _c5260
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003 BD-DhEU
005 20230826150455.0
008 170324s2017 ii a o 001 0 eng d
020 _a9781491962268
020 _a1491962267
020 _a9781491962244
020 _a1491962240
020 _a9789352135219
040 _aUMI
_beng
_erda
_epn
_cBD-DhEU
_dN$T
_dYDX
_dEBLCP
_dTEFOD
_dIDEBK
_dN$T
_dOCLCQ
_dSTF
_dTOH
_dOCLCF
_dOCLCQ
_dNAM
_dOCL
_dOCLCQ
_dBD-DhEU
041 _aben
082 0 4 _a006.31
_223
_bGEH 2017
100 1 _aGeron, Aurelien,
_eauthor.
_97701
245 1 0 _aHands-on machine learning with Scikit-Learn and TensorFlow :
_bconcepts, tools, and techniques to build intelligent systems /
_cAurelien Geron.
260 _aNew Delhi :
_bSPD,
_c2017.
300 _axx, 545 p. :
_bill.
_c24 cm.
500 _aIncludes index.
505 0 _aThe fundamentals of machine learning. The machine learning landscape ; End-to-end machine learning project ; Classification ; Training models ; Support vector machines ; Decision trees ; Ensemble learning and random forests ; Dimensionality reduction -- Neural networks and deep learning. Up and running with TensorFlow ; Introduction to artificial neural networks ; Training deep neural nets ; Distributing TensorFlow across devices and servers ; Convolutional neural networks ; Recurrent neural networks ; Autoencoders ; Reinforcement learning -- Exercise solutions -- Machine learning project checklist -- SVM dual problem -- Autodiff -- Other popular ANN architectures.
520 _aThrough a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.
590 _aKamrul Islam
650 0 _aMachine learning.
_97702
650 0 _aArtificial intelligence.
_9440
650 7 _aCOMPUTERS
_xCybernetics.
_2bisacsh.
_97703
650 7 _aCOMPUTERS
_xMachine Theory.
_2bisacsh.
_97704
650 7 _aArtificial intelligence.
_2fast
_9440
650 7 _aMachine learning.
_2fast
_97702
655 0 _aElectronic books.
_92027
856 4 0 _uhttp://link.overdrive.com/?websiteID=37&titleID=3221210
_yAccess eNYPL
908 4 _aQ325.5
942 _2ddc
_cBK
_011