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Math

Books about mathematics in general, including probability and statistics

- (paper) When You Were a Tadpole and I Was a Fish by Martin Gardner
- (paper) Machine Learning with Python Cookbook by Chris Albon
- (paper) Probabilistic Graphical Models by Daphne Koller, Nir Friedman
- (paper) Outlier Analysis by Charu C. Aggarwal
- (audio) Thinking Statistically by Uri Bram
- (paper) Doing Bayesian Data Analysis by Kruschke John
- (paper) Statistics Done Wrong by Alex Reinhart
- (paper) Machine Learning with R Cookbook by Yu-Wei Chiu
- (paper) A Tour of the Calculus by David Berlinski
- (paper) How Not to Be Wrong by Jordan Ellenberg
- (paper) Introduction to Probability by Joseph K. Blitzstein, Jessica Hwang
- (paper) Complex Adaptive Systems by John H. Miller, Scott E. Page
- (paper) Introductory Time Series with R by Paul S.P. Cowpertwait
- (paper) Why by Samantha Kleinberg
- (paper) Discovering Statistics Using R by Andy Field, Jeremy Miles, Zoe Field
- (paper) Handbook of Cubik Math by Alexander H. Frey, David Singmaster
- (paper) Entertaining Mathematical Puzzles by Martin Gardner
- (paper) The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani, Jerome Friedman
- (paper) Mathematical Puzzles and Diversions by Martin Gardner
- (paper) An Introduction to Statistical Learning by Gareth James, Trevor Hastie, Robert Tibshirani
- (paper) Uncertainty by William Briggs
- (paper) O Homem Que Calculava (Edição Comemorativa) by Malba Tahan

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