机器学习概述.md

Concept

A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E.

Classification

• Supervised Learning

  • Classification

  • Regression

• Unsupervised Learning

  • Clustering

• Semi-supervised Learning

• Reinforcement Learning

• Multi-task Learning

Steps

• Data Preprocessing
• Feature Engineering
• Data Modeling
• Model Evaluation

Methods

Classification

• Decision Tree
• Bayesian
• SVM
• Logistic Regression
• Esemble Learning

Regression

• Linear Regression
• Generalized Linear Regression
• Ridge Regression
• Lasso Regression

Clustering

• K-means
• Gaussian Mixture Model
• DBSCAN
• Hierarchical Clustering

Others

• Hidden Markov Model
• Linear Discriminant Analysis