DATA 401: Data Science
Fall 2016
Reading List

By Topic Textbooks, General Interest, Data Science Process, Technical Papers

Textbooks

• Ian Goodfellow, Yoshua Bengio, Aaron Courville, Deep Learning, MIT Press, HTML
  [September 25, 2016]

• Google's Data Science Blog
  [September 25, 2016]

• Vasant Dhar, Data Science and Prediction, Communications of the ACM, vol. 56 (12), PDF
  [September 25, 2016]

Data Science Process

• Philip Guo, Software Tools to Facilitate Research Programming, Ph.D. Thesis, Stanford University, PDF.
  Chapters 1 and 2 describe the data science process
  [September 25, 2016]

Technical Papers

• H. Brendan McMahan, Gary Holt, D. Sculley, Michael Young, Dietmar Ebner, Julian Grady, Lan Nie, Todd Philips, Eugene Davydov, Daniel Golovin, Sharat Chikkerur, Dan Liu, Martin Wattenberg, Arnar Mar Hrafnkelsson, Tom Boulos, Jeremy Kubica, Ad Click Prediction: a View From the Trenches, KDD'2013, PDF
  [September 25, 2016]

• DianeTang, Ashish Agrawal, Deidre O'Brien, Mike Meyer, Overlapping Experiment Infrastructure: More Better, Faster Experimentation, KDD'2010, PDF
  [September 25, 2016]