Welcome to my machine learning repository! This space is dedicated to sharing my journey and the various resources that have been instrumental in my learning process.
- MATH 19620: Linear Algebra
- STAT 23400: Statistical Models and Methods
- CMSC 25300: The Mathematical Foundations of Machine Learning
- CMSC 25400: Machine Learning
- CMSC 25700: Natural Language Processing
- Probabilistic Machine Learning: An Introduction by Kevin Patrick Murphy, MIT Press, 2021.
- Mathematics for Machine Learning by Marc Peter Deisenroth, A Aldo Faisal, and Cheng Soon Ong, Cambridge University Press, 2020.
- Pattern Recognition and Machine Learning by Christopher Bishop, 2006.
- The Elements of Statistical Learning (second edition) by Trevor Hastie, Robert Tibshirani, Jerome Friedman, 2009.
- Stanford's CS244U: Natural Language Processing
In this repository, you'll find a variety of mini-projects, and over time, other materials that I've compiled and created throughout my learning journey.
Happy learning!