Structure and Interpretation of Computer Programs, Fall 2018
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Updated
Nov 30, 2018 - Python
Structure and Interpretation of Computer Programs, Fall 2018
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.
Web applications for CS Mentors.
UC Berkeley EE16B AI Chatbot 🤖 🖥️ 🐻
Jupyter Book guide providing information about the Berkeley-managed Jupyterhubs and for creating/maintaining the data science curriculum.
🎓 Path to a free self-taught education in Computer Science!
sgal's solution for CS 61A, Summer 2019, most of which in one line
A brief introduction to translate economic analysis in Stata into computational, reproducible and interactive notebooks.
The UC Berkeley Data Scholars Pathways Seminar exposes its students to many different cutting-edge Data Science tools.
Sequoia: Student Researcher & Instructor at UC Berkeley
Lab solutions for https://sites.google.com/view/deep-rl-bootcamp
My solutions to UC Berkeley's CS285: Deep Reinforcement Learning 2021
Solution to the Deep RL Bootcamp labs from UC Berkeley
Pytorch implementatiions of the Homeworks in course CS294-158
Implementation of Incremental Path Planning (D*-Lite) in Pacman Domain
This repository contains solution to the pacman search problems of the UC Berkley CS188 AI class.
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
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