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How to teach math for machine learning?
Hello, I was very interested in machine learning and I started to study it. I found a course and started taking it. After the first two lessons, I realized that I practically do not understand anything from the mathematics required for machine learning. At first I decided to study linear algebra, but even there I can hardly understand what is happening. Same thing with mat. analysis, statistics, etc. I'm in the 9th grade and maybe this knowledge is not enough for me. Tell me how to study mathematics. If there is a course or a book where the basics are explained in simple terms, then I will be glad.
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Wait for the university and matan there.
But if you really want to, then here is an excellent resource: mathprofi.ru/matematika_dlya_chainikov.html
1. Find the channel of this linal friend on youtube:
https://www.3blue1brown.com/
2. you don’t need to know much, just understand what optimization is
3. Andew Ng’s course on youtube also explains the base rules
4. udacity course on Data science covers the minimum base in mathematics 5 in great detail
. then read Gareth James "Introduction to Statistical learning", it looks complicated there, the formulas are especially etc. etc., but in fact everything is very simple if you look at them not too difficult
if some topic in mathematics is not clear, then you need to temporarily step back to simpler things. make a tactical retreat. invest your energy to understand the current math program as much as possible, solve school olympiad problems. and once every six months, return to what was too difficult for you before. At some point, understanding will begin to appear.
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