0%

Book Description

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 (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.

Table of Contents

  1. Cover
  2. Title
  3. Copyright
  4. Dedication
  5. Contents
  6. Foreword
  7. About the Author
  8. Acknowledgments
  9. Introduction
  10. Chapter 1: Chris Wiggins
  11. Chapter 2: Caitlin Smallwood
  12. Chapter 3: Yann LeCun
  13. Chapter 4: Erin Shellman
  14. Chapter 5: Daniel Tunkelang
  15. Chapter 6: John Foreman
  16. Chapter 7: Roger Ehrenberg
  17. Chapter 8: Claudia Perlich
  18. Chapter 9: Jonathan Lenaghan
  19. Chapter 10: Anna Smith
  20. Chapter 11: André Karpištšenko
  21. Chapter 12: Amy Heineike
  22. Chapter 13: Victor Hu
  23. Chapter 14: Kira Radinsky
  24. Chapter 15: Eric Jonas
  25. Chapter 16: Jake Porway
  26. Index
  27. Other Apress Titles You Will Find Useful
3.15.156.140