Kelvin Lee

I am an undergraduate student at University of California, Berkeley, studying computer science and applied mathematics.

My interests include machine learning, deep learning, probability theory, and theoretical statistics.

Classes

Below is a list of some classes I have taken at UC Berkeley. I take comprehensive notes for some classes, and they are linked below. These notes may contain typos or incomplete sections. Please email me if you spot any typos or would like to help me improve my notes! Feel free to email me if you have any other questions as well!

(CS270) Combinatorial Algorithms and Data Structures (Graduate)

(STAT230A) Linear Models (Graduate)

(CS162) Operating Systems

(CS161) Computer Security

(MATH H54) Honors Linear Algebra and Differential Equations

(CS61A) Structure and Interpretation of Computer Programs

(CS61B) Data Structures

(CS61C) Computer Architecture

(EECS16B) Designing Information Devices and Systems II

Notes

Teaching/Tutoring

I'm also involved in teaching. The following are some resources that I used or created for different subjects. I also offer tutoring services for computer science, math, and statistics courses. Feel free to contact me via email for details.

CS70: Discrete Math and Probability Theory

Slides

Worksheets/Handouts

Research

The following are some notes that I made for some classic research papers in deep learning that are relevant to my current research.

Classes

(CS270) Combinatorial Algorithms and Data Structures (Graduate)

(STAT230A) Linear Models (Graduate)

(CS162) Operating Systems

(CS161) Computer Security

(CS182) Deep Learning

(CS186) Database Systems

(MATH105) Analysis II

(CS182) Deep Learning

(CS186) Database Systems

(MATH185) Complex Analysis

(STAT135) Concepts in Statistics

(STAT150) Stochastic Processes

(MATH202A) Topology and Analysis

(STAT210A) Theoretical Statistics

(MATH113) Abstract Algebra

(CS189) Machine Learning

(EECS127) Convex Optimization

(MATH104) Real Analysis

(CS188) Artificial Intelligence

(CS170) Efficient Algorithms and Intractable Problems

(MATH110) Linear Algebra

(EECS126) Probability Theory and Random Processes

(CS70) Discrete Math and Probability Theory