MARC Record from marc_nuls

LEADER: 04142cam 2200385Ii 4500
001 9925208326501661
005 20151010051242.8
008 150130s2014 caua b 001 0 eng d
019 $a894301178$a913099000
020 $a1430265981$q(pbk.)
020 $a9781430265986$q(pbk.)
035 $a99964649359
035 $a(OCoLC)901120259$z(OCoLC)894301178$z(OCoLC)913099000
035 $a(OCoLC)ocn901120259
040 $aCDX$beng$cCDX$dOCLCQ$dYDXCP$dOCLCO$dWSU$dOUP$dOCLCF$dTOH$dBTCTA$dNKM$dOCLCQ$dYBM$erda$dEDK
050 4 $aQA276.4$b.G87 2014
082 04 $a519.5$223
100 1 $aGutierrez, Sebastian,$eauthor.
245 10 $aData scientists at work /$cSebastian Gutierrez.
264 1 $a[Berkeley, California] :$bApress,$c2014.
264 4 $c℗♭2014.
300 $axvi, 346 pages :$billustrations ;$c23 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
504 $aIncludes bibliographical references and index.
505 0 $aForeword / Peter Norvig: Google -- About the author -- Acknowledgments -- Introduction -- Chris Wiggins: New York Times -- Caitlin Smallwood: Netflix -- Yann LeCun: Facebook -- Erin Shellman: Nordstrom -- Daniel Tunkelang: Linkedln -- John Foreman: MailChimp -- Roger Ehrenberg: IA Ventures -- Claudia Perlich: Dstillery -- Jonathan Lenaghan: PlaceIQ -- Anna Smith: Rent the Runway -- Andre Karpistsenko: Planet OS -- Amy Heineike: Quid -- Victor Hu: Next Big Sound -- Kira Radinsky: SalesPredict -- Eric Jonas: Neuroscience Research -- Jake Porway: DataKind -- Index.
520 $aData Scientists at Work is a collection of interviews with sixteen of the world's most influential and innovative data scientists from across the spectrum of this hot new profession. "Data scientist is the sexiest job in the 21st century," according to the Harvard Business Review. By 2018, the United States will experience a shortage of 190,000 skilled data scientists, according to a McKinsey report. Through incisive in-depth interviews, this book mines the what, how, and why of the practice of data science from the stories, ideas, shop talk, and forecasts of its preeminent practitioners across diverse industries: social network (Yann LeCun, Facebook); professional network (Daniel Tunkelang, LinkedIn); venture capital (Roger Ehrenberg, IA Ventures); enterprise cloud computing and neuroscience (Eric Jonas, formerly Salesforce.com); newspaper and media (Chris Wiggins, The New York Times); streaming television (Caitlin Smallwood, Netflix); music forecast (Victor Hu, Next Big Sound); strategic intelligence (Amy Heineike, Quid); environmental big data (Andre Karpis ts enko, Planet OS); geospatial marketing intelligence (Jonathan Lenaghan, PlaceIQ); advertising (Claudia Perlich, Dstillery); fashion e-commerce (Anna Smith, Rent the Runway); specialty retail (Erin Shellman, Nordstrom); email marketing (John Foreman, MailChimp); predictive sales intelligence (Kira Radinsky, SalesPredict); and humanitarian nonprofit (Jake Porway, DataKind). The book features a stimulating foreword by Google's Director of Research, Peter Norvig. Each of these data scientists shares how he or she tailors the torrent-taming techniques of big data, data visualization, search, and statistics to specific jobs by dint of ingenuity, imagination, patience, and passion. Data Scientists at Work parts the curtain on the interviewees' earliest data projects, how they became data scientists, their discoveries and surprises in working with data, their thoughts on the past, present, and future of the profession, their experiences of team collaboration within their organizations, and the insights they have gained as they get their hands dirty refining mountains of raw data into objects of commercial, scientific, and educational value for their organizations and clients.
650 0 $aStatisticians$vInterviews.
650 0 $aComputer scientists$vInterviews.
650 0 $aStatistics$xData processing.
650 0 $aStatisticians.
650 0 $aComputer scientists.
947 $hCIRCSTACKS$r31786103014228
980 $a99964649359