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020 _a9789355421982
040 _aYDXCP
_beng
_cYDXCP
_erda
_dBDX
_dOCLCQ
_dBTCTA
_dJBL
_dUUM
_dTEF
_dJRZ
_dOCLCF
_dGP5
082 0 4 _a006.31
_223
_bGEH
100 1 _aG�eron, Aur�elien,
_eauthor.
_963346
245 1 0 _aHands-on machine learning with Scikit-Learn and TensorFlow :
_bconcepts, tools, and techniques to build intelligent systems /
_cAur�elien G�eron.
250 _aFirst edition.
300 _axxv, 834 pages :
_billustrations ;
_c24 cm
336 _atext
_btxt
_2rdacontent
336 _astill image
_bsti
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
500 _aIncludes index.
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 Aur�elien G�eron 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 0 _aMachine learning.
_963347
650 0 _aArtificial intelligence.
_963348
650 7 _aCOMPUTERS / Computer Vision & Pattern Recognition.
_2bisacsh
_963349
650 7 _aCOMPUTERS / Data Processing.
_2bisacsh
_963350
650 7 _aCOMPUTERS / Intelligence (AI) & Semantics.
_2bisacsh
_963351
650 7 _aCOMPUTERS / Natural Language Processing.
_2bisacsh
_963352
650 7 _aCOMPUTERS / Neural Networks.
_2bisacsh
_963353
650 7 _aArtificial intelligence.
_2fast
_0(OCoLC)fst00817247
_963354
650 7 _aMachine learning.
_2fast
_0(OCoLC)fst01004795
_963355
650 7 _aPython 3.0
_2gnd
_963356
650 7 _aAutomatische Klassifikation
_2gnd
_963357
650 7 _aMaschinelles Lernen
_2gnd
_963358
650 7 _aK�unstliche Intelligenz
_2gnd
_963359
655 4 _aNonfiction.
_963360
942 _2ddc
_cBK
999 _c84952
_d84952