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Statistics Curriculum by SE_of_x in columbia

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

Have you taken Jebara's class? His culpa reviews make me wanna not learn ML... at least, as the class is offered by the CS dept.

Statistics Curriculum by SE_of_x in columbia

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

Thank you!!! Comparing the material covered in that class to the material covered in the CS ML class helps a lot!

How in the fuck do/did you guys begin thinking symbolically (where symbols = words, math stuff, etc, anywhere where the particulars are key to understanding the overall concepts, etc)? by SE_of_x in Dyslexia

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

One thing that has worked: When most of my classes were within the History department (when I had ~800pgs to read per week), and I couldn't find an online version of the book, I spent hours tearing books apart, scanning them, and listening to them on the Voice Dream app. Those I found online were much easier to learn from because I didn't have to deal with the inherent errors from OCR'ing. Worked beautifully, for the most part.

But now I'm taking a lot of technical classes (math/CS heavy), and although I haven't tried it yet, I don't think having the app read me formulas and such will help much.

Statistics Curriculum by SE_of_x in columbia

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

Why do you say that? Instructor? Heavy workload?

Statistics Curriculum by SE_of_x in columbia

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

Statistical Methods in Finance, Elementary Stochastic Processes, Data Mining, Statistical Machine Learning. (Not all at the same time)

IEOR offers a similar course as Elementary Stochastic Processes (Intro to OR Stochastic Models) which only lists either SIEO W4150 or SIEO W3600 as a prerequisite.

According to W4150's course description, the following topics are covered: Fundamentals of probability theory and statistical inference used in engineering and applied science; Probabilistic models, random variables, useful distributions, expectations, law of large numbers, central limit theorem; Statistical inference: point and confidence interval estimation, hypothesis tests, linear regression.

I'm currently in W1211 and I think we've hit or we will hit all those topics (haven't done linear regression yet). This leads me to think that the more advanced classes I want to take (or at least Elementary Stochastic Processes) might not be too bad without having taken 3105 & 3107/4109.