Machine learning, what you need to know in mathematics?

Question

Mathematics

What do you need to know from mathematics to understand machine learning?
Is there a specific list of areas and topics in mathematics? Now I am independently studying according to the book higher mathematics in exercises and tasks, the book covers - double triple integral, curvilinear integrals, series, differential equations, probability theory, elements of operational calculus, calculation methods

Advise topics that need to be understood in more detail, as well as books for practice in terms of problem solving

Answer 1

Guys, you are completely "that". I understand that asking a question on Google is an extremely difficult task, requiring incredible mental effort and full exertion. But just to look at the Toaster itself, well, at least, just for the last 3 (THREE !!!) days, not even a week, What hasn't mind grown on this?
Literature or any math courses for machine learning? - set March 7th.
What do you need to study for deep data analysis? - set March 8.
There was a course, but can't find it again, on python and learning machines? - set March 9th.
Is this a complete degradation of the Toaster as a platform for advanced training and turning it into a platform for lazy and half-educated schoolchildren?
And I already wrote on the topic. If a person with free access to the Internet is not able to independently find the answer to such an elementary question - there is nothing for him to do in the field of such a brain-intensive industry as machine learning. Or, at best, early.

Answer 2

It seems that you read smart books, but you have not mastered the search. On the toaster (or as it is now) a dozen similar topics have been procrastinated more than once.