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999			_c28372 _d28343
001			20916104
003			EG-ScBUE
005			20200319094950.0
008			190403r20192017caua f 001 0 eng d
020			_a9781491962299
035			_a(OCoLC)ocn953432302
040			_aYDXCP _beng _erda _cYDXCP _dBDX _dOCLCQ _dBTCTA _dJBL _dUUM _dTEF _dJRZ _dOCLCF _dGP5 _dVP@ _dCHVBK _dOCLCO _dNBU _dCDN _dNGU _dOCLCA _dIPU _dQQ3 _dZYU _dGCO _dIGA _dMFS _dYUS _dNHM _dBUR _dOQX _dDLC _dEG-ScBUE
082	0	4	_a006.31 _bGÉR _222
100	1		_aGéron, Aurélien, _eauthor.
245	1	0	_aHands-on machine learning with scikit-learn and tensorflow : _bconcepts, tools, and techniques to build intelligent systems / _cAurélien Géron.
250			_aFirst edition.
250			_aTwelfth release.
264		1	_aSebastopol, CA : _bO'Reilly Media, _c2019.
300			_axx, 551 pages : _billustrations ; _c24 cm
336			_atext _btxt _2rdacontent
336			_astill image _bsti _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
500			_aIncludes index.
500			_aIncludes appendices.
520			_a"Through 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. By using concrete examples, minimal theory, and two production-ready Python frameworks--Scikit-Learn and TensorFlow--author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started" _cBack cover.
650		7	_aMachine learning. _2BUEsh
650		7	_aArtificial intelligence. _2BUEsh
653			_bCOMSCI _cMarch2020
655		4	_aNonfiction. _vReading book _94656
906			_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg
942			_2ddc _cBB