CS Notes 📚

This repository is a collection of my personal notes while studying computer science, artificial intelligence, and related areas. I use it to organize what I learn, revisit concepts later, and gradually build a structured knowledge base.

Most notes are based on textbooks, research papers, lectures, and other technical resources that I study along the way.

📌 This repository is still a work in progress, so a few sections or links may not be available yet.

Topics

AI

Notes related to artificial intelligence, machine learning, deep learning, and the mathematical and statistical foundations used in these areas.

Core CS

Fundamental computer science topics including compilers, computer architecture, computer networks, data structures and algorithms, databases, distributed systems, and operating systems.

Papers

Notes and summaries from research papers that I read while exploring different topics.

Problem Solving

Notes and explanations for popular algorithmic problems and problem solving patterns.

References

Some useful resources that guide the topics covered in these notes:

• https://teachyourselfcs.com
• https://roadmap.sh
• https://github.com/ossu/computer-science
• https://github.com/jwasham/coding-interview-university
• https://github.com/donnemartin/system-design-primer
• https://github.com/karpathy/nn-zero-to-hero
• https://www.deeplearningbook.org
• https://neetcode.io