000 04673cam a2200685 i 4500
001 on1350684170
003 OCoLC
005 20240523125544.0
006 m o d
007 cr |n|||||||||
008 221113t20232023enka ob 001 0 eng d
040 _aYDX
_beng
_erda
_cYDX
_dYDX
_dDG1
_dIEEEE
_dOCLCF
_dCON
_dOCLCO
020 _a9781119845041
_q(electronic bk. : oBook)
020 _a1119845041
_q(electronic bk. : oBook)
020 _a9781119845027
_qelectronic book
020 _a1119845025
_qelectronic book
020 _a9781119845034
_q(electronic bk.)
020 _a1119845033
_q(electronic bk.)
020 _z1119845017
_qhardcover
020 _z9781119845010
_qhardcover
024 7 _a10.1002/9781119845041
_2doi
029 1 _aAU@
_b000073230553
035 _a(OCoLC)1350684170
037 _a9968098
_bIEEE
041 1 _aeng
_hfre
050 4 _aQ325.73
_b.T84 2023
082 0 4 _a006.31
_223
049 _aMAIN
100 1 _aTuffery, St�ephane,
_eauthor.
245 1 0 _aDeep learning :
_bfrom big data to artificial intelligence with R /
_cSt�ephane S. Tuff�ery.
264 1 _aChichester, West Sussex :
_bJohn Wiley & Sons, Ltd,
_c2023.
264 4 _c�2023
300 _a1 online resource (xix, 519 pages) :
_billustrations (some color)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTranslated from the French.
505 0 _aFront Matter -- From Big Data to Deep Learning -- Processing of Large Volumes of Data -- Reminders of Machine Learning -- Natural Language Processing -- Social Network Analysis -- Handwriting Recognition -- Deep Learning -- Deep Learning for Computer Vision -- Deep Learning for Natural Language Processing -- Artificial Intelligence -- Conclusion -- Annotated Bibliography -- Index
520 _aA concise and practical exploration of key topics and applications in data science In Deep Learning: From Big Data to Artificial Intelligence with R, expert researcher Dr. St�ephane Tuff�ery delivers an insightful discussion of the applications of deep learning and big data that focuses on practical instructions on various software tools and deep learning methods relying on three major libraries: MXNet, PyTorch, and Keras-TensorFlow. In the book, numerous, up-to-date examples are combined with key topics relevant to modern data scientists, including processing optimization, neural network applications, natural language processing, and image recognition. This is a thoroughly revised and updated edition of a book originally released in French, with new examples and methods included throughout. Classroom-tested and intuitively organized, Deep Learning: From Big Data to Artificial Intelligence with R offers complimentary access to a companion website that provides R and Python source code for the examples offered in the book. Readers will also find: A thorough introduction to practical deep learning techniques with explanations and examples for various programming libraries Comprehensive explorations of a variety of applications for deep learning, including image recognition and natural language processing Discussions of the theory of deep learning, neural networks, and artificial intelligence linked to concrete techniques and strategies commonly used to solve real-world problems Perfect for graduate students studying data science, big data, deep learning, and artificial intelligence, Deep Learning: From Big Data to Artificial Intelligence with R will also earn a place in the libraries of data science researchers and practicing data scientists.
504 _aIncludes bibliographical references and index.
588 _aDescription based on online resource; title from digital title page (viewed on December 02, 2022).
590 _aJohn Wiley and Sons
_bWiley Online Library: Complete oBooks
650 0 _aDeep learning (Machine learning)
650 0 _aR (Computer program language)
650 0 _aBig data.
650 0 _aArtificial intelligence.
650 6 _aApprentissage profond.
650 6 _aR (Langage de programmation)
650 6 _aDonn�ees volumineuses.
650 6 _aIntelligence artificielle.
650 7 _aartificial intelligence.
_2aat
650 7 _aArtificial intelligence
_2fast
650 7 _aBig data
_2fast
650 7 _aDeep learning (Machine learning)
_2fast
650 7 _aR (Computer program language)
_2fast
776 0 8 _iPrint version:
_z1119845017
_z9781119845010
_w(OCoLC)1301904521
856 4 0 _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119845041
938 _aYBP Library Services
_bYANK
_n18208524
994 _a92
_bINLUM
999 _c12933
_d12933