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.
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.
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.
