What level of mathematics is required to work with machine learning?

Question

Mathematics

There is a question of choosing a university. First, I looked at curricula, reviews, ratings and, of course, passing scores. The problem is that I used to want to have a minimum of mathematics at the university, but over time I realized that without it, ML is nowhere. So there is software engineering , and there is, for example, applied mathematics and computer science . Is it worth learning math almost all the time for 4 years, or is software engineering enough for ML?
PS Another problem is that I graduated from college and the curriculum is very similar to software engineering. Those. how would it be worth it a second time ..?
PPS I really like Apple and I would like to get there. Is there any correlation between knowledge of mathematics and employment in this company?

Answer 1

On the programming surface, math isn't really needed. But as soon as you face the question "Why is my code so slow?" - this is where you have to dive into indices, hash tables, probabilities, limits, combinatorics, matrices, graphs, and so on.
For this reason, in top IT companies, when interviewing for a job, candidates are properly driven through Olympiad problems, where there is a lot of mathematics. Classic advice - if you want to get into such a company - solve problems with a topcoder. https://twitter.com/mxcl/status/608682016205344768