I wanted to get some directions on how to prepare for an MS Degree in Mathematics and I learn artificial intelligence also.
Background:
Background:
- I'm interested in getting a Ph.D. in Statistical Learning or related area in 5-6 years.
- I took some courses in Mathematical Statistics and I struggled because I do not have recent coursework in Analysis, Measure theory, etc.
- I studied electrical engineering with a very heavy mathematical component from a very decent University 20 years ago however, it is amazing how much I've forgotten.
- I've always been fascinated by mathematics and I'm very tempted to build a solid foundation before partaking in doctoral study.
- I am working at the moment - my job is flexible and I'm saving to take off a year or two for the final years of my doctoral work.
- I have a couple of graduate degrees in the area of Computer Science and Artificial Intelligence
- I'd like to build up to where I was 20 years ago: calculus, linear algebra, diff equations, calculus of complex variables, frequency domain analysis.
- I'd also like to take courses that are typically reserved for math majors like proofs, analysis, group theory, algebra, etc.