【学习】机器学习速查

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

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Basics

• Linear Regression

• Gradient Descent

• Logistic Regression

• Training (empty)

• Glossary

Math

• Calculus

• Linear Algebra

• Probability (empty)

• Statistics (empty)

• Notation

Neural Networks

• Concepts

• Forwardpropagation

• Backpropagation

• Activation Functions

• Loss Functions

• Optimization

• Regularization

Algorithms

• Applications

• Classification

• Clustering

• Deep Learning

• Regression

• Reinforcement Learning

Resources