A collection of classical papers that I share on twitter on all topics in machine learning, cognitive science, statistics, information theory, neuroscience, artificial intelligence, signal processing, operations research, econometrics, and others.

**12 Mar 2017**[Tweet]- Bayesian back-propagation, W. L. Buntine and A. S. Weigend, 1991.

**22 Jan 2017**[Tweet]- Induction of Decision Trees. J. R. Quinlan, 1986

**8 Jan 2017**[Tweet]- Some Studies in Machine Learning using the Game of Checkers. A. L. Samuel, 1959

**18 Dec 2016**[Tweet]- Statistical Modeling: The Two Cultures. Leo Breiman, 2001

**11 Dec 2016**[Tweet]- A 'Neural' Network that Learns to Play Backgammon. G. Tesauro and T Sejnowski, 1987

**4 Dec 2016**[Tweet]- A Mean Field Theory Learning Algorithm for Neural Networks. Carsten Peterson and James R . Anderson, 1987

**27 Nov 2016**[Tweet]**20 Nov 2016**[Tweet]- On the Likelihood That One Unknown Probability Exceeds Another in View of the Evidence of Two Samples. William R. Thompson, 1933.

**13 Nov 2016**[Tweet]- A neural substrate of prediction and reward. Wolfram Schultz, Peter Dayan, P. Read Montague, 1997.

**6 Nov 2016**[Tweet]- Generalized Linear Models. J. A. Nelder and R. W. M. Wedderburn, 1972.

**30 Oct 2016**[Tweet]- On Lines and Planes of Closest Fit to Systems of Points in Space. Karl Pearson, 1901.

**23 Oct 2016**[Tweet]- Random variate generation in one line of code. Luc Devroye, 1996.

**9 Oct 2016**[Tweet]- Computer science as empirical inquiry: symbols and search. Allen Newell and Herbert A. Simon , 1975.

**17 Sept 2016**[Tweet]- The Usefulness of Useless Knowledge. Abraham Flexner, 1939.