Machine Learning Cheatsheet

Brief visual explanations of machine learning concepts with diagrams, code examples and links to resources for learning more.

Warning

This document is under early stage development. If you find errors, please raise an issue or contribute a better definition!

Basics

• Linear Regression
• Gradient Descent
• Logistic Regression
• Glossary

Math

• Calculus
• Linear Algebra
• Probability (TODO)
• Statistics (TODO)
• Notation

Neural Networks

• Concepts
• Forwardpropagation
• Backpropagation
• Activation Functions
• Layers
• Loss Functions
• Optimizers
• Regularization
• Architectures

Algorithms (TODO)

• Classification
• Clustering
• Regression
• Reinforcement Learning

Resources

• Datasets
• Libraries
• Papers
• Other

Contributing

• How to contribute