Machine Learning

• Loss functions

Supervised Learning

Regression

• Linear Regression
• Leverage
• Generalized Linear Models
• Quantile Regression
• Expectile Regression

Classification

Unsupervised Learning

Mixture Models (Clustering)

• K-Means
• Gaussian Mixture Models
• K-Medoids
• K-Medians

Feature Models

• Principal Component Analysis
• Factor Analysis
• Independent Component Analysis
• Non-negative Matrix Factorization
• Linear Gaussian

Kernel Methods

See Kernel methods.

Reinforcement Learning

See reinforcement learning.

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