Advanced Engineering Mathematics

I think Kreyszig's Advanced Engineering Mathematics is an excellent text in applied math. I'm not sure where you're at or what direction you want to study, but once you're familiar with calculus concepts this text is a good place to go to deal with ODE and analysis.

Hi - I was in a similar situation a year ago (starting a Master's in ML, feeling crappy at math). What worked for me was: - Studying is doing problems. Reading is not studying. When studying, read the minimum amount necessary to complete the problem. Do all problems CLOSED-book: no notes or reading while doing problems. - A problem is not understood until you can do it on a blank piece of paper two days after reading the relevant material (so do problems several times to check). - Study machine learning problems that use the math. The examples in math text books are pretty useless to you - do ML problems directly. When you don't get it, look the math up quickly in a reference book (A.E.M. by Kreyszig works), as much as needed to complete the problem, and move on. - Implement regularly. Once you've done the problems concerning an algorithm or technique, implement it. Make sure your implementation is correct, and spend some effort making it quick. Read source code for other people's implementations. This method is effective (for me) because I like programming and machine learning, I don't like math textbooks or the problems within, and I can't remember what I haven't solved.…