1.8 참고자료
1. Gelman, Andrew. “N Is Never Large,” Statistical Modeling, Causal Inference, and Social Science, last modified July 31, 2005, http://andrewgelman.com/2005/07/31/n_is_never_larg/.
2. Halevy, Alon, Peter Norvig, and Fernando Pereira. “The Unreasonable Effectiveness of Data,” IEEE Intelligent Systems 24, no. 2 (March/April 2009): 8-12.
3. Lin, Jimmy, and Alek Kolcz. “Large-Scale Machine Learning at Twitter.” In Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data (Scottsdale, AZ: May 2012), 793-804.
4. Kahneman, Daniel. Thinking, Fast and Slow. New York: Farrar, Straus and Giroux, 2011.
5. Patil, Anand, David Huard, and Christopher J. Fonnesbeck. “PyMC: Bayesian Stochastic Modelling in Python,” Journal of Statistical Software 35, no. 4 (2010): 1-81.
6. Cronin, Beau. “Why Probabilistic Programming Matters,” last modified March 24, 2013, https://plus.google.com/u/0/107971134877020469960/posts/KpeRdJKR6Z1.