Resources
Books
An introduction to Statistical Learning
Understanding Deep Learning
Probabilistic Machine Learning
Deep Learning Foundations
Intro to Statistical Learning
https://www.thelmbook.com/
Sites
ML Visualized
AI Engineer Roadmap
Courses
Neural Networks: Zero to Hero | Andrej Kaparthy - Free and amazing lecture series
Deeplearning.ai - Should do this after machine learning coursera
Coursera: Andrew Ng, Machine Learning Specialization
- Supervised Machine Learning
- Advanced Learning Algorithms
- Unsupervised Machine Learning
Coursera: Mathematics for Machine Learning and Data Science
Hugging Face: Transformers
FastAI: Practical Deep Learning for Coders
NPTEL
Google ML Courses
Blogs/Forums
Youtube Videos/Lectures
Academia
CSMC:422 - Intro to Machine Learning (UMD)
Math
3Blue1Brown: Linear Algebra
Linear Algebra Review and Reference
Review of Probability Theory
Research Papers
The Elements of Differentiable Programming - Paper that contains most of the math used in modern ai/dl/ml