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.

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.

Depends on how basic you're imagining. Khan Academy [0] is a fairly well-regarded free resource for high-school and undergraduate level mathematics video lectures. They have probability and statistics as well as linear algebra courses.

If you prefer textbooks, I have heard good things about "Linear Algebra Done Right," [1] but I would not recommend it unless you are "math literate" at an undergraduate level already.

[0] https://www.khanacademy.org/math/probability

[1] http://www.amazon.com/dp/3319110799

I think this is a good resource to start: http://betterexplained.com/articles/linear-algebra-guide/

For linear algebra check out Prof. Gilbert Strand's course on MIT OCW. He's great at explaining the material and the course resources are comprehensive.

http://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-...