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Infosec FTW

Data Science BookShelf

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Math

  • Linear Algebra and Its Applications by Gilbert Strang (Cengage Learning)
  • Convex Optimization by Stephen Boyd and Lieven Venden‐berghe (Cambridge University Press)
  • A First Course in Probability (Pearson) and Introduction to Probability Models (Academic Press) by Sheldon Ross

Coding

  • R in a Nutshell by Joseph Adler (O’Reilly)
  • Learning Python by Mark Lutz and David Ascher (O’Reilly)
  • R for Everyone: Advanced Analytics and Graphics by Jared Lander (Addison-Wesley)
  • The Art of R Programming: A Tour of Statistical Software Design by Norman Matloff (No Starch Press)
  • Python for Data Analysis by Wes McKinney (O’Reilly) Data Analysis and Statistical Inference
  • Statistical Inference by George Casella and Roger L. Berger (Cengage Learning)
  • Bayesian Data Analysis by Andrew Gelman, et al. (Chapman & Hall)
  • Data Analysis Using Regression and Multilevel/Hierarchical Models by Andrew Gelman and Jennifer Hill (Cambridge University Press)
  • Advanced Data Analysis from an Elementary Point of View by Cosma Shalizi (under contract with Cambridge University Press)
  • The Elements of Statistical Learning: Data Mining, Inference and Prediction by Trevor Hastie, Robert Tibshirani, and Jerome Friedman (Springer)

Artificial Intelligence and Machine Learning

  • Pattern Recognition and Machine Learning by Christopher Bishop (Springer)
  • Bayesian Reasoning and Machine Learning by David Barber (Cambridge University Press)
  • Programming Collective Intelligence by Toby Segaran (O’Reilly)
  • Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig (Prentice Hall)
  • Foundations of Machine Learning by Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar (MIT Press)
  • Introduction to Machine Learning (Adaptive Computation and Machine Learning) by Ethem Alpaydim (MIT Press)

Experimental Design

  • Field Experiments by Alan S. Gerber and Donald P. Green (Norton)
  • Statistics for Experimenters: Design, Innovation, and Discovery by George E. P. Box, et al. (Wiley-Interscience)

Visualization

  • The Elements of Graphing Data by William Cleveland (Hobart Press)
  • Visualize This: The FlowingData Guide to Design, Visualization, and Statistics by Nathan Yau (Wiley)

List from http://www.amazon.ca/Doing-Data-Science-Straight-Frontline/dp/1449358659

Pinterst Screenshot http://www.pinterest.com/dangleebits/books/

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One response to “Data Science BookShelf

  1. Joshua November 4, 2013 at 6:17 pm

    you should probably put where you got this list. (Doing Data Science) – Always give credit where its due :)

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