Analyzing the Analyzers: An Introspective Survey of Data Scientists and Their Work

Analyzing the Analyzers: An Introspective Survey of Data Scientists and Their Work

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Product Details

ISBN-13: 9781449371760
Publisher: O'Reilly Media, Incorporated
Publication date: 06/19/2013
Pages: 40
Sales rank: 866,307
Product dimensions: 5.90(w) x 8.90(h) x 0.50(d)

About the Author

Harlan D. Harris is a Senior Data Scientist at Kaplan Test Prep, the Co-Founder and Co-Organizer of the Data Science DC Meetup, and the Co-Founder and President of Data Community DC, Inc. He has a PhD in Computer Science (Machine Learning) from the University of Illinois at Urbana-Champaign and worked as a researcher in several Psychology departments before turning to industry.

Sean Patrick Murphy, with degrees in mathematics, electrical engineering, and biomedical engineering and an MBA from Oxford University, has served as a senior scientist at the Johns Hopkins Applied Physics Laboratory for the past ten years. Previously, he served as the Chief Data Scientist at WiserTogether, a series A funded health care analytics firm, and the Director of Research at Manhattan Prep, a boutique graduate educational company. He was also the co-founder and CEO of a big data-focused startup: CloudSpree.

Marck Vaisman is a data scientist, consultant, entrepreneur, master munger and hacker. Marck is the Principal Data Scientist at DataXtract, LLC helping clients from start-ups to Fortune 500 firms with all kinds of data science projects. His professional experience spans the management consulting, telecommunications, Internet, and technology industries. He is the co-founder of Data Community DC, Inc. and co-organizer of the Data Science DC and R Users DC meetup groups. He has an MBA from Vanderbilt University and a B.S. in Mechanical Engineering from Boston University. Marck is also a contributing author of The Bad Data Handbook.

Table of Contents

  • Chapter 1: Introduction
  • Chapter 2: Case Studies in Miscommunication
  • Chapter 3: A Survey of, and About, Professionals
  • Chapter 4: T-Shaped Data Scientists
  • Chapter 5: Data Scientists and Organizations
  • Chapter 6: Final Thoughts
  • Survey Details
  • Colophon

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