notes
various information
college
- Yale S&DS 242: Sandwich Asymptotic Variance
just for fun
Across the spring term this year, I visited some friends at Berkeley and UC Davis multiple times! During my stay, I had the privilege of attending a good amount of classes. I took some notes1 for my fun and memories:
- (Berkeley) EECS 126: Probability & Random Processes (my notes)
- (Berkeley) EECS 127: Optimization Models in Engineering (my notes)
- (UC Davis) STA 141C: Big Data & High Performance Statistical Computing (my notes)
high school
If you are searching for calculus-based notes to teach machine-learning at the high school or basic undergraduate level, please check out some challenges I (co)-wrote in high school.
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Whenever the professor didn’t speak faster than my fingers could latex :) ↩