Hey šš» I'm Frank, a Master's student in Computer Science at UPenn SEAS with a concentration in Artificial Intelligence. (Now a SWE @ Google)
This website is a collection of fundamental concepts that shaped my understanding of CS and AI. I hope you find them as helpful as I have. Enjoy!
Guides
A Geometric Interpretation of Neural Networks
It's not a black box, it's a high-dimensional space transformer!
Nelson-Seigel 3-factor Model & Forecasting
Ready to forecast some yields? Nelson-Seigel is here to help! No stochastic calculus required.
A Primer on Search Problems: From DFS to A* Search
From DFS, BFS, IDDFS, UCS, Greedy, to A* - a comprehensive journy in the world of search.
Articles
(Migrating to MDX, more articles will be brought back up soon)
2024
Jul 15
A Saga on Infinity: Cantor and the Theory of SetsFeb 22
Why is the Weight Vector orthgonal to the Separating Hyperplane?Feb 20
A Geometric Interpretation of Neural NetworksJan 20
Options Pricing with Black-Scholes and Gradient Ascent from scratch2023
Oct 31
Nelson-Seigel 3-factor Model & ForecastingJul 02
A Primer on Search Problems: From DFS to A* Search2022
Oct 30
Naive Bayes v.s. Logistic Regression: A Deep DiveFeb 15
Basics on Graphs2021
Apr 20
The Future Network: What Do We Want to Build?