Hey šš» I'm Frank, a Master's student in Computer Science at UPenn SEAS with a concentration in Artificial Intelligence.
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
Feb 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?