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Data scientists at work

Title
Data scientists at work / Sebastian Gutierrez.
ISBN
9781430265993
143026599X
9781430265986
1430265981
Publication
[Berkeley, CA?] : Apress, [2014]
Distribution
New York, NY : Distributed to the Book trade worldwide by Springer
Copyright Notice Date
©2014
Physical Description
1 online resource (xi, 364 pages) : illustrations
Local Notes
Access is available to the Yale community.
Notes
English.
Access and use
Access restricted by licensing agreement.
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.
Variant and related titles
O'Reilly Safari. OCLC KB.
Other formats
Print version: Gutierrez, Sebastian. Data scientists at work. [Berkeley, CA] : Apress, 2014
Format
Books / Online
Language
English
Added to Catalog
January 14, 2020
Bibliography
Includes bibliographical references and index.
Contents
Introduction
Chapter 1: Chris Wiggins, The New York Times
Chapter 2: Caitlin Smallwood, Netflix
Chapter 3: Yann LeCun, Facebook
Chapter 4: Erin Shellman, Nordstrom
Chapter 5: Daniel Tunkelang, LinkedIn
Chapter 6: John Foreman, MailChimp
Chapter 7: Roger Ehrenberg, IA Ventures
Chapter 8: Claudia Perlich, Dstillery
Chapter 9: Jonathan Lenaghan, PlaceIQ
Chapter 10: Anna Smith, Rent the Runway
Chapter 11: André Karpištšenko, Planet OS
Chapter 12: Amy Heineike, Quid
Chapter 13: Victor Hu, Next Big Sound
Chapter 14: Kira Radinsky, SalesPredict
Chapter 15: Eric Jonas, Neuroscience Research
Chapter 16: Jake Porway, DataKind
Index
Foreword / Peter Norvig
About the Author
Acknowledgments.
Genre/Form
Handbooks and manuals.
Also listed under
Safari Books Online (Firm)
Citation

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