MARC Record from marc_columbia

LEADER: 04561cam a2200733Mi 4500
001 14916649
005 20220604234814.0
006 m o d
007 cr |n|||||||||
008 200508s2020 flu ob 001 0 eng
035 $a(OCoLC)on1154070455
035 $a(NNC)14916649
040 $aAU@$beng$erda$cAU@$dYDX$dOCLCO$dEBLCP$dN$T$dTYFRS$dOCLCF$dUKAHL$dOCLCO
019 $a1155202754$a1155638026
020 $a9780429446641 (electronic bk)
020 $a0429446640 (electronic bk)
020 $a9780429822308$q(electronic bk. : Mobipocket)
020 $a0429822308$q(electronic bk. : Mobipocket)
020 $a9780429822315$q(electronic bk. : EPUB)
020 $a0429822316$q(electronic bk. : EPUB)
020 $z9781138315068
020 $z1138315060
020 $z9780429446610
020 $z0429446616
020 $a9780429822322$q(electronic bk.)
020 $a0429822324$q(electronic bk.)
035 $a(OCoLC)1154070455$z(OCoLC)1155202754$z(OCoLC)1155638026
037 $a9780429446641$bTaylor & Francis
050 4 $aQA76.9.D343$bR637 2020
072 7 $aBUS$x061000$2bisacsh
072 7 $aCOM$x012040$2bisacsh
072 7 $aCOM$x021030$2bisacsh
072 7 $aUN$2bicssc
082 04 $a006.3/12$223
049 $aZCUA
100 1 $aRogel-Salazar, Jesus,$eauthor.
245 10 $aAdvanced data science and analytics with Python /$cJesús Rogel-Salazar.
264 1 $aBoca Raton :$bCRC Press,$c2020.
300 $a1 online resource (1 volume :$billustrations (black and white.).
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aChapman & Hall/CRC data mining & knowledge discovery series
504 $aIncludes bibliographical references and index.
520 $a"Advanced Data Science and Analytics with Python enables data scientists to continue developing their skills and apply them in business as well as academic settings. The subjects discussed in this book are complementary and a follow up from the topics discuss in Data Science and Analytics with Python. The aim is to cover important advanced areas in data science using tools developed in Python such as SciKit-learn, Pandas, Numpy, Beautiful Soup, NLTK, NetworkX and others. The model development is supported by the use of frameworks such as Keras, TensorFlow and Core ML, as well as Swift for the development of iOS and MacOS applications. The book can be read independently from the previous volume and each of the chapters in this volume is sufficiently independent from the others providing flexibility for the reader. Each of the topics addressed in the book tackles the data science workflow from a practical perspective, concentrating on the process and results obtained. The implementation and deployment of trained models are central to the book. Time series analysis, natural language processing, topic modelling, social network analysis, neural networks and deep learning are comprehensively covered in the book. The book discusses the need to develop data products and tackles the subject of bringing models to their intended audiences. In this case literally to the users's fingertips in the form of an iPhone app"--
588 $aDescription based on print version record
505 0 $a1.No Time To Lose: Time Series Analysis2.Speaking Naturally: Text and Natural Language Processing3.Let Us Get Social: Graph Theory and Social Network Analysis4.Thinking Deeply: Neural Networks and Deep Learning5.Here Is One I Made Earlier: Machine Learning Deployment
650 0 $aData mining.
650 0 $aPython (Computer program language)
650 0 $aDatabases.
650 6 $aExploration de données (Informatique)
650 6 $aPython (Langage de programmation)
650 7 $aBUSINESS & ECONOMICS / Statistics$2bisacsh
650 7 $aCOMPUTERS / Computer Graphics / Game Programming & Design$2bisacsh
650 7 $aCOMPUTERS / Database Management / Data Mining$2bisacsh
650 7 $aData mining.$2fast$0(OCoLC)fst00887946
650 7 $aDatabases.$2fast$0(OCoLC)fst00888065
650 7 $aPython (Computer program language)$2fast$0(OCoLC)fst01084736
655 0 $aElectronic books.
776 08 $iebook version$z9780429822315
776 08 $cOriginal$z9781138315068$z1138315060$z9780429446610$z0429446616$w(DLC) 2019055620
830 0 $aChapman & Hall/CRC data mining and knowledge discovery series.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio14916649$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS