MARC Record from marc_nuls

LEADER: 03021cam 2200397Ii 4500
001 9925411194401661
005 20191217094325.0
008 180426t20182018enka b 001 0 eng d
019 $a1032349543$a1032649808$a1050328338$a1055683123
020 $a9781786303264$q(hardcover)
020 $a1786303264$q(hardcover)
035 $a99981933966
035 $a(OCoLC)1032588464$z(OCoLC)1032349543$z(OCoLC)1032649808$z(OCoLC)1050328338$z(OCoLC)1055683123
035 $a(OCoLC)on1032588464
040 $aYDX$beng$erda$cYDX$dUSD$dBDX$dOCLCF$dVKM$dGSU$dWAU
050 4 $aQA76.9.B45$bS43 2018
082 04 $a005.7$223
100 1 $aSedkaoui, Soraya,$eauthor.
245 10 $aData analytics and big data /$cSoraya Sedkaoui.
264 1 $aLondon, UK :$bISTE, Ltd. ;$aHoboken, NJ, USA :$bJohn Wiley & Sons, Inc.,$c2018.
264 4 $c℗♭2018
300 $axxvii, 184 pages :$billustrations ;$c25 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
490 1 $aInformation systems, web and pervasive computing series
504 $aIncludes bibliographical references (pages 173-180) and index.
520 $aBig data analytics is one of the fastest growing fields in today's business context. It concerns not only data that is continuously getting "bigger", but also the ways in which that data is processed and analyzed and how it is turned into knowledge. This book covers the basic concepts of big data analytics in easy-to-understand terms, working through a series of practical applications which illustrate the use and importance of working with data. It includes an introduction to the crucial domain of machine learning algorithms based on their principles, concepts and applications. As companies are increasingly embracing the opportunities offered by big data, it is becoming ever more important to understand what exactly big data analytics and algorithms can do. This book will help the reader to explore this pertinent new field and discover what can be revealed by each byte of data.
505 0 $aPart 1. Towards an understanding of big data: are you ready? -- From data to big data: you must walk before you can run -- Big data: a revolution that changes the game -- Part 2. Big data analytics: a compilation of advanced analytics techniques that covers a wide range of data -- Building an understanding of big data analytics -- Why data analytics and when can we use it? -- Data analytics process: there's great work behind the scenes -- Part 3. Data analytics and machine learning: the relevance of algorithms -- Machine learning: a method of data analysis that automates analytical model building -- Supervised versus unsupervised algorithms: a guided tour -- Applications and examples.
650 0 $aBig data.
650 0 $aDatabases.
650 0 $aDatabase management.
650 0 $aData mining.
830 0 $aInformation systems, web and pervasive computing series.
947 $hCIRCSTACKS$r31786103146020
980 $a99981933966