|Hacker News can we generate a list of mathematical requirements for a beginner to understand machine learning? I am specifically interested in beginner friendly sources to: Calculus, Linear Algebra and Statistics/Probability.|
I want to take this a step beyond the "Learn Machine Learning through Python/MatLab" approach and make this a "Learn Machine Learning through math" approach but targeted for beginners. If the focus is more on coding and less on math then it doesn't fit what I am looking for.
Whenever I say beginners I am defining it is a smart layperson that is a non-math major. Think of it like a "very smart high school senior that hasn't seen calculus yet" kind of beginner.
So here are my questions:
What are very good beginner friendly introductions to Calculus, Linear Algebra, Statistics & Probability?
Can we generate a beginner friendly list of textbooks, MOOCs, youtube videos, lecture notes, etc. for the above fields?
If you only know of say beginner friendly sources for Linear Algebra, but not the rest of the above fields then that is ok, just list the ones you know for Linear Algebra.
If I am leaving any field of mathematics out (that a beginner should know) please include them and what beginner friendly sources they should start with.