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
