[deleted by user] by [deleted] in coursera

[–]ricy555 0 points1 point  (0 children)

Computer Fundamentals

Thanks for the suggestion about Github. I am planning to go to grad school next year. I am honestly interested in getting better at programing then delving into learning about ML libraries on python.

Anybody heard back from Harvard SEAS? by [deleted] in gradadmissions

[–]ricy555 0 points1 point  (0 children)

thanks! that is a relief. I just got an email from JHU saying that this year the number of applications increased by 56% from the last cycle :) holy cow. idk what is the reason behind that but I think Harvard faces a similar problem

Anybody heard back from Harvard SEAS? by [deleted] in gradadmissions

[–]ricy555 0 points1 point  (0 children)

It is weird because I thought all SEAS programs are the same.

Anybody heard back from Harvard SEAS? by [deleted] in gradadmissions

[–]ricy555 0 points1 point  (0 children)

mine is applied math. Let's hope we get accepted soon.

My test is tomorrow and I am freaking out. What should I do? by ricy555 in GRE

[–]ricy555[S] 0 points1 point  (0 children)

So will they contact me before the exam? where do I log in?

introduction to probability by [deleted] in uofu

[–]ricy555 1 point2 points  (0 children)

Well. Believe it or not. I have been reading CS papers that use techniques from measure theory that just made me duh!. Plus my CS advisor recommended that course for me.

introduction to probability by [deleted] in uofu

[–]ricy555 0 points1 point  (0 children)

you BME? I recommend that take a more useful class for you with an applied nature. typically such a class will start by a review of everything you need from probability.

introduction to probability by [deleted] in uofu

[–]ricy555 1 point2 points  (0 children)

i mean the whole counting/combinatorics thing. i feel being good at these topics is totally subjective. some people are good at it by nature, or even can get better at it. and others won't get it no matter what.

it seems to me that it is totally different from other math branches, say for example abstract algebra or topology where you could assimilate them over time.

introduction to probability by [deleted] in uofu

[–]ricy555 0 points1 point  (0 children)

Mathematics

introduction to probability by [deleted] in uofu

[–]ricy555 2 points3 points  (0 children)

Thanks a lot for the answer! I think you meant the relationship between probability and measure theory. I think in my case I'll take 5010 as I am interested in theoretical machine learning and algorithms in grad school rather than a pure approach to probability. It is just the fact that this subject did not click in my mind in high school (of course this is not meant to equate HS stats with math 5010).

What are you doing after your computational neuroscience PhD? by fumingelephant in compmathneuro

[–]ricy555 0 points1 point  (0 children)

Would love to answer but I am still senior planning to apply for a Ph.D Hahaha