AI：人工智能之十一类机器学习算法(英文表示)详细分类之详细攻略(持续更新)

Machine Learning Algorithms

1、Decision Tree决策树相关

Cassification and Regression Tree (CART)

Iterative Dichotomiser 3 (ID3)

C4.5

C5.0

Chi-squared Automatic Ineraction Detection (CHAID)

Decision Stump

Conditional Decision Trees

M5

2、Bayesian贝叶斯相关

Naive Bayes

Averaged One-Dependence Estimators (AODE)

Bayesian Belief Network (BBN)

Gaussian Naive Bayes

Multinomial Naive Bayes

Bayesian Network (BN)

3、Regression回归相关

Linear Regression

Ordinary Least Squares Regression (OLSR)

Stepwise Regression

Multivariate Adaptive Regression Splines (MARS)

Locally Estimated Scatterplot Smoothing (LOESS)

Logistic Regression

4、Instance Based基于实例相关

k-Nearest Neighbour (kNN)

Learning Vector Quantization (LVQ)

Self-Organizing Map (SOM)

Locally Weighted Learning (LWL)

5、Ensemble集成学习相关

Random Forest

Gradient Boosting Machines (GBM)

Boosting

Bootstrapped Aggregation (Bagging)

AdaBoost

Stacked Generalization (Blending)

Gradient Boosted Regression Trees (GBRT)

6、Rule System规则相关

Cubist

One Rule (OneR)

Zero Rule (ZeroR)

Repeated Incremental Pruning to Produce Error Reduction (RIPPER)

7、Regularization正则化相关

Ridge Regression

Least Absolute Shrinkage and Selection Operator (LASSO)

Elastic Net

Least Angle Regression (LARS)

8、Dimensionality Reduction降维相关

Principal Component Analysis (PCA)

Partial Least Squares Regression (PLSR)

Sammon Mapping

Multidimensional Scaling (MDS)

Projection Pursuit

Principal Component Regression (PCR)

Partial Least Squares Discriminant Analysis

Mixture Discriminant Analysis (MDA)

Quadratic Discriminant Analysis (QDA)

Regularized Discriminant Analysis (RDA)

Flexible Discriminant Analysis (FDA)

Linear Discriminan Analysis (LDA)

9、Clustering聚类相关

k-Means

k-Medians

Expectation Maximization

Hirarhical Clusteingg

10、Neural Networks神经网络相关

Radial Basis Function Network (RBFN)

Perceptron

Back- Propagation

Hopfield Network

11、Deep Learning深度学习相关

Deep Boltzmann Machine (DBM)

Deep Belief Networks (DBN)

Convolutional Neural Network (CNN)

Stacked Auto- Encoders

AI：人工智能之十一类机器学习算法(英文表示)详细分类之详细攻略(持续更新)

Machine Learning Algorithms

1、Decision Tree决策树相关

Cassification and Regression Tree (CART)

Iterative Dichotomiser 3 (ID3)

C4.5

C5.0

Chi-squared Automatic Ineraction Detection (CHAID)

Decision Stump

Conditional Decision Trees

M5

2、Bayesian贝叶斯相关

Naive Bayes

Averaged One-Dependence Estimators (AODE)

Bayesian Belief Network (BBN)

Gaussian Naive Bayes

Multinomial Naive Bayes

Bayesian Network (BN)

3、Regression回归相关

Linear Regression

Ordinary Least Squares Regression (OLSR)

Stepwise Regression

Multivariate Adaptive Regression Splines (MARS)

Locally Estimated Scatterplot Smoothing (LOESS)

Logistic Regression

4、Instance Based基于实例相关

k-Nearest Neighbour (kNN)

Learning Vector Quantization (LVQ)

Self-Organizing Map (SOM)

Locally Weighted Learning (LWL)

5、Ensemble集成学习相关

Random Forest

Gradient Boosting Machines (GBM)

Boosting

Bootstrapped Aggregation (Bagging)

AdaBoost

Stacked Generalization (Blending)

Gradient Boosted Regression Trees (GBRT)

6、Rule System规则相关

Cubist

One Rule (OneR)

Zero Rule (ZeroR)

Repeated Incremental Pruning to Produce Error Reduction (RIPPER)

7、Regularization正则化相关

Ridge Regression

Least Absolute Shrinkage and Selection Operator (LASSO)

Elastic Net

Least Angle Regression (LARS)

8、Dimensionality Reduction降维相关

Principal Component Analysis (PCA)

Partial Least Squares Regression (PLSR)

Sammon Mapping

Multidimensional Scaling (MDS)

Projection Pursuit

Principal Component Regression (PCR)

Partial Least Squares Discriminant Analysis

Mixture Discriminant Analysis (MDA)

Quadratic Discriminant Analysis (QDA)

Regularized Discriminant Analysis (RDA)

Flexible Discriminant Analysis (FDA)

Linear Discriminan Analysis (LDA)

9、Clustering聚类相关

k-Means

k-Medians

Expectation Maximization

Hirarhical Clusteingg

10、Neural Networks神经网络相关

Radial Basis Function Network (RBFN)

Perceptron

Back- Propagation

Hopfield Network

11、Deep Learning深度学习相关

Deep Boltzmann Machine (DBM)

Deep Belief Networks (DBN)

Convolutional Neural Network (CNN)

Stacked Auto- Encoders

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