机器学习模型算法 List

Top 13 machine learning algorithm

Linear Regression

Logistic Regression

Support Vector Machines

Random Forest

Naïve Bayes Classification

Ordinary Least Square Regression

K-means

Ensemble Methods

Apriori Algorithm

Principal Component Analysis

Singular Value Decomposition

Reinforcement or Semi-Supervised Machine Learning

Independent Component Analysis

更具体一些

回归：

Linear Regression

正则化：

Ridge Regression

Least Absolute Shrinkage and Selection Operator (LASSO)

Elastic Net

Least-Angle Regression (LARS)

分类：

Logistic Regression

决策树：

Classification and Regression Tree (CART)

Iterative Dichotomiser 3 (ID3)

C4.5 and C5.0 (different versions of a powerful approach)

Chi-squared Automatic Interaction Detection (CHAID)

Decision Stump

M5

Conditional Decision Trees

SVM

Bayesian：

Naive Bayes

Gaussian Naive Bayes

Multinomial Naive Bayes

Averaged One-Dependence Estimators (AODE)

Bayesian Belief Network (BBN)

Bayesian Network (BN)

kNN

聚类：

k-Means

k-Medians

Expectation Maximisation (EM)

Hierarchical Clustering

Random Forest

降维：

Principal Component Analysis (PCA)

Principal Component Regression (PCR)

Partial Least Squares Regression (PLSR)

Sammon Mapping

Multidimensional Scaling (MDS)

Projection Pursuit

Linear Discriminant Analysis (LDA)

Mixture Discriminant Analysis (MDA)

Quadratic Discriminant Analysis (QDA)

Flexible Discriminant Analysis (FDA)

Gradient Boosting algorithms：

GBM

XGBoost

LightGBM

CatBoost

Deep learning with NLP

word2vec：

CBOW

Skip gram

基于层级 softmax 的 word2vec

基于 负采样 的 word2vec

GloVe

RNN

LSTM

seq2seq

Attention

CNN

Transformer

Tree RNN

Deep learning with CV

CNN

AlexNet

VGG-16

Google Inception-v3

Microsoft ResNet-50

SqueezeNet

Spatial transformer

DenseNet

Faster R-CNN

GAN：

vanilla GAN

conditional GAN

InfoGAN

BigGAN