Acknowledgements
- Hussein AlSarabi
- Jorge E. Gil
- Brandon Odegard
- Rocko Graziano
- IBM - Math of Machine Learning Topics / MOOCs - http://datascience.ibm.com/blog/the-mathematics-of-machine-learning/
- MIT - Linear Algebra - https://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/
- Khan Academy - Linear Algebra - https://www.khanacademy.org/math/linear-algebra
- Khan Academy - Calculus - https://www.khanacademy.org/math/calculus-home
- MIT - Math for Computer Science - https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-spring-2015/readings/
- MIT - Intro to Probability and Statistics - https://ocw.mit.edu/courses/mathematics/18-05-introduction-to-probability-and-statistics-spring-2014/index.htm
- Gilbert Strang's lectures: https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/
- An Introduction to Statistical Learning [PDF] - http://www-bcf.usc.edu/~gareth/ISL/ISLR%20Sixth%20Printing.pdf
- Elements of Statistical Learning [PDF] - http://statweb.stanford.edu/~tibs/ElemStatLearn/
- The Manga Guide to Linear Algebra, @Amazon
- Anything by Gilbert Strang (especially "Linear Algebra and its Applications" and "Computational Science and Engineering")
- "All of Statistics" by Larry Wasserman (@Amazon)
- ML Math Essentials - http://courses.washington.edu/css490/2012.Winter/lecture_slides/02_math_essentials.pdf
Other Resources https://github.com/josephmisiti/awesome-machine-learning https://github.com/sindresorhus/awesome#computer-science https://github.com/vhf/free-programming-books/blob/master/free-programming-books.md
- Python for Data Analysis http://shop.oreilly.com/product/0636920050896.do