Data scientists at work /

Data scientists at work /

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Bibliographic Details
Author / Creator:Gutierrez, Sebastian, author.
Imprint:[Berkeley, CA?] : Apress, [2014]
New York, NY : Distributed to the Book trade worldwide by Springer
©2014
Description:1 online resource (xi, 364 pages) : illustrations
Language:English
Subject:
Statistics -- Data processing.
Statisticians.
Computer scientists.
Computer scientists.
Statisticians.
Statistics -- Data processing.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11090894
Hidden Bibliographic Details
ISBN:9781430265993
143026599X
9781430265986
1430265981
Notes:Includes bibliographical references and index.
Online resource; title from PDF title page (SpringerLink, viewed December 22, 2014).
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.
Other form:Print version: Gutierrez, Sebastian. Data scientists at work. [Berkeley, CA] : Apress, 2014 9781430265986
Standard no.:10.1007/978-1-4302-6599-3
Table of 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.

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