Explore UC Berkeley grades

Syllabus and exercises for "Data Science for Finance," a course taught in the Masters of Financial Engineering program at UC Berkeley's Haas School of Business.

Projects related to AI

hivestats: Efficient remote use of UC Berkeley EECS instructional accounts

Lab solutions for https://sites.google.com/view/deep-rl-bootcamp

Introduction to Teaching Computer Science

The UC Berkeley Data Scholars Pathways Seminar exposes its students to many different cutting-edge Data Science tools.

Solution to the Deep RL Bootcamp labs from UC Berkeley

Structure and Interpretation of Computer Programs, Fall 2018

Assignments for CS294-112. All work is my own.

sgal's solution for CS 61A, Summer 2019, most of which in one line

Pytorch implementatiions of the Homeworks in course CS294-158

Personal Deep Reinforcement Learning class notes

Implementation of Incremental Path Planning (D*-Lite) in Pacman Domain

See where alumni work and have worked

Notes from STAT 33A at UC Berkeley in Fall 2020.

A repository with a selection of hand picked free courses from high quality universities that amount to a full Computer Science undergrad curriculum, based on 2019's MIT undergrad curriculum.

A repository with a selection of hand picked free courses from high quality universities that amount to a full Computer Science undergrad curriculum, based on 2019's MIT undergrad curriculum.

Notes from STAT 33B at UC Berkeley in Fall 2020.