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Vitaliy2018-11-20 07:58:53

A book or a course in elementary and discrete mathematics?

I understand that this question has been voiced more than once, but having considered the answers to similar questions, I got very confused in the varieties of courses and books.

The situation is as follows: I have school-level mathematics, and there is some understanding of logarithms and functions. But still I want to go through everything again and solve problems in order to switch to discrete mathematics and then start studying Machine Learning or Data Analysis. That is, is there a book or course that describes both theory and examples with solutions + practice.

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@inajaf

@AVKor

@potan

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Vladimir Olohtonov, 2018-11-20 @inajaf

First, make sure that everything is in order with school mathematics, Kiselyov's textbooks are best suited for this.

Then at the basic level, realize mathematical analysis (for example, according to the book "How to survive after the passage to the limit?" Pantaev), then raise linear algebra (Kurosh's textbook "Course of Higher Algebra" is enough for this), it remains only to add a little probability theory (Feller's first volume for this is more than enough).

If you want exactly discrete mathematics, then you can solve the course "Discrete Structures" by Dainyak on the steppe, if you want more, then "Concrete Mathematics" by Knuth :)

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AVKor, 2018-11-20 @AVKor

Kiselyov's textbooks.

It's too early for a discreet, until the school one is mastered.

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Mikhail Potanin, 2018-11-29 @potan

Discrete for machine learning is not required. Need linear algebra. terver and statistics.

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