Re:Complete Course on Machine Learning
by stdbrouw on Tuesday July 21, 2015 @12:21PM
(#9923369)
For linear algebra, I like the "No BS guide to linear algebra" (https://gumroad.com/l/noBSLA) which also includes a high school math refresher for people who need it (I did).
For probability, "Probability Demystified" is a good basic intro.
For statistics, I would really recommend Allen Downey's Think Stats (http://greenteapress.com/thinkstats2/index.html), especially if you're coming from a programming background. Most introductions to statistics focus heavily on the mathematics needed to enable certain analytical approximations to difficult probabilistic calculations (e.g. the t-test), whereas Think Stats just bites that bullet and focuses on simulation / brute force so you can spend more time on the actual fundamental theory behind statistics.
For probability, "Probability Demystified" is a good basic intro.
For statistics, I would really recommend Allen Downey's Think Stats (http://greenteapress.com/thinkstats2/index.html), especially if you're coming from a programming background. Most introductions to statistics focus heavily on the mathematics needed to enable certain analytical approximations to difficult probabilistic calculations (e.g. the t-test), whereas Think Stats just bites that bullet and focuses on simulation / brute force so you can spend more time on the actual fundamental theory behind statistics.
Brian Blais' "Statistical Inference for Everyone" (http://web.bryant.edu/~bblais/statistical-inference-for-ever...) also looks really good, but haven't had a chance to review it in depth.