Notes
The notes which I’ve written so far will be linked down below. These notes have been written by me for projects, as class notes, or out of pure interest in the topic. Some of the notes are handwritten, wheras others have been done in LaTeX.
I am aware that the notes might have many typos which might’ve been missed by me in proofreading; although I may or may not re-visit them again. If you find any typos or any errors in my notes, feel free to let me know here!
Self-Notes
- Deep Learning and Convolutional Networks
- Theory of Machine Learning
- Data Structures and Algorithms written for SoS-2020
Class-Notes
- CS736 - Medical Image Computing
- CS310 - Automata Theory
- CS302 - Implementation of Programming Languages
- MA214 - Numerical Analysis
- HS301 - Introduction to Philosophy
- CS747 - Foundations of Intelligent and Learning Agents
- CS337 - Artificial Intelligence and Machine Learning
- PH566 - Advanced Simulation Methods in Physics
- CS224 - Networks
- CS218 - Design and Analysis of Algorithms
- HS101 - Humanities and Social Sciences
- CS251 - Notes for Awk and Sed
- CS213 - Classnotes
- CS215 - Data Analysis and Interpretation The notes start from the Gaussian distribution.
- CS207 - Discrete Structures The notes start from the Chinese Remainder Theorem.