Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
[Berkeley, CA?]
Apress
[2014]
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| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781430265993/?ar |
| Summary: | Data 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 (André Karpištšenko, 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. |
| Item Description: | Includes bibliographical references and index. - Online resource; title from PDF title page (SpringerLink, viewed December 22, 2014) |
| Physical Description: | 1 Online-Ressource (xi, 364 pages) illustrations |
| ISBN: | 9781430265993 143026599X |
Staff View
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| spelling | Gutierrez, Sebastian VerfasserIn aut Data scientists at work Sebastian Gutierrez [Berkeley, CA?] Apress [2014] ©2014 1 Online-Ressource (xi, 364 pages) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Online resource; title from PDF title page (SpringerLink, viewed December 22, 2014) Data 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 (André Karpištšenko, 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. English. Statistics Data processing Statisticians Computer scientists Computer engineers computerwetenschappen computer sciences Information and Communication Technology (General) Informatie- en communicatietechnologie (algemeen) Statistique ; Informatique Statisticiens Informaticiens statisticians computer scientists MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General Statistics ; Data processing Handbooks and manuals 9781430265986 Erscheint auch als Druck-Ausgabe 9781430265986 |
| spellingShingle | Gutierrez, Sebastian Data scientists at work Statistics Data processing Statisticians Computer scientists Computer engineers computerwetenschappen computer sciences Information and Communication Technology (General) Informatie- en communicatietechnologie (algemeen) Statistique ; Informatique Statisticiens Informaticiens statisticians computer scientists MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General Statistics ; Data processing Handbooks and manuals |
| title | Data scientists at work |
| title_auth | Data scientists at work |
| title_exact_search | Data scientists at work |
| title_full | Data scientists at work Sebastian Gutierrez |
| title_fullStr | Data scientists at work Sebastian Gutierrez |
| title_full_unstemmed | Data scientists at work Sebastian Gutierrez |
| title_short | Data scientists at work |
| title_sort | data scientists at work |
| topic | Statistics Data processing Statisticians Computer scientists Computer engineers computerwetenschappen computer sciences Information and Communication Technology (General) Informatie- en communicatietechnologie (algemeen) Statistique ; Informatique Statisticiens Informaticiens statisticians computer scientists MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General Statistics ; Data processing Handbooks and manuals |
| topic_facet | Statistics Data processing Statisticians Computer scientists Computer engineers computerwetenschappen computer sciences Information and Communication Technology (General) Informatie- en communicatietechnologie (algemeen) Statistique ; Informatique Statisticiens Informaticiens statisticians computer scientists MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General Statistics ; Data processing Handbooks and manuals |
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