Here is a great set of cheat sheet on some of the following topics:
- Supervised learning
- Unsupervised learning
- Deep learning
- Probability and statistics
- Linear algebra
- Tips and tricks including performance metrics
https://stanford.edu/~shervine/teaching/cs-229/
Hope you liked the cheat sheets on different topics of machine learning and data science.
Latest posts by Ajitesh Kumar (see all)
- LLMs for Adaptive Learning & Personalized Education - October 8, 2024
- Sparse Mixture of Experts (MoE) Models: Examples - October 6, 2024
- Anxiety Disorder Detection & Machine Learning Techniques - October 4, 2024
I found it very helpful. However the differences are not too understandable for me