- http://tutorial.math.lamar.edu/Classes/DE/Definitions.aspx
- Finite Calculus: A Tutorial for Solving Nasty Sums
- Notes on Discrete Math - Yale
- How to write math
- http://www.people.vcu.edu/~dcranston/490/handouts/math-read.html
- HOW TO LEARN ADVANCED MATHEMATICS WITHOUT HEADING TO UNIVERSITY - PART 3
- Paul’s Online Math Notes
- https://www.reddit.com/r/gamedev/comments/4525xs/understanding_2d_transformations_maths_for_gamedev/
- https://gist.github.com/bishboria/8326b17bbd652f34566a - Graduate texts in mathematics
- Ask HN: A Good Book About Statistics?
- http://news.ycombinator.com/item?id=10208861 The Math I Learned After I Thought Had Already Learned Math
- http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
- http://www.math.uah.edu/stat
- Calculus Learning Guide
- The Essence of Linear Algebra
- http://jadagul.tumblr.com/post/145201618713/linear-programming-how-does-it-work
- http://nolaymanleftbehind.wordpress.com/2011/07/10/linear-algebra-what-matrices-actually-are
- Linear Algebra: What Matrices are
- Interactive Linear Algebra
- How to become a Bayesian in eight easy steps
- http://news.ycombinator.com/item?id=10529681
- http://blog.rokkincat.com/machine-learning-bayes
- http://allendowney.blogspot.com/2016/03/ive-been-busy-with-other-projects-so-i.html
- https://www.countbayesie.com/blog/2016/5/1/a-guide-to-bayesian-statistics
- http://allendowney.blogspot.com/2016/05/learning-to-love-bayesian-statistics.html
- A Zero-Math Introduction to Markov Chain Monte Carlo Methods
- Markov Chains Explained Visually
- http://ocw.mit.edu/courses/aeronautics-and-astronautics/16-410-principles-of-autonomy-and-decision-making-fall-2010/lecture-notes/MIT16_410F10_lec20.pdf