How to learn to write data processing, machine learning and where to go with it?

Question

Python

Hello, I get incredible pleasure from posts in habrahabr.ru/hub/data_mining/ and, accordingly, from habrahabr.ru/hub/bigdata/ but most of these posts are pure magic for me. While I'm in my third year and moonlighting as a Django developer, and after graduation, it would probably be great to get a job somewhere related to machine learning and data analysis. But I don’t know where to start, what to read, what mat. device is needed.
Could you give the name of good books (or any other lessons) where everyone starts to explain from the basics and a list of mathematical sections that you must know. If there are better teaching materials in English, then you can use them.
Thank you.

Answer 1

There is a topic on Habré:
https://habrahabr.ru/company/mlclass/blog/252743/
https://habrahabr.ru/company/spbifmo/blog/276479/
https://habrahabr.ru/post/270449 / Literally a week ago, https://www.coursera.org/learn/mathematics-and-python
started on Coursera - watch the lectures, it may become clearer which sections of mathematics should be tightened up, because. in the course itself, information on them is rather concise.

Answer 2

The course from Andrew Ng on Coursera helped me. It explains the basic machine learning algorithms very well. If you are not strong in linear algebra, then there are several lessons on this topic. People generally praise this course because it is very suitable for beginners. On the plus side, the course leader is a professor of machine learning at Stanford and is closely associated with it.
Wish you luck!

Answer 3

spend 5 years at the university in the specialty of mathematics

Answer 4

Read books like "Programming the Collective Mind" (just a python).
“Big data. A revolution that
will change the way we live, work and
think."
Darell Huff (Huff Darrell). How to lie with
statistics.
Attend events such as goto hack, watch Yandex lectures, they are open access