Data Mining Learning Checklist (reprint)

Basic article

The practical significance behind the matrix

Probability distribution

Unconstrained optimization Method

Lagrange Multiplier method and Kkt condition

Recommended

Correlation test

Collaborative Filtering recommendation algorithm

Classification

Naive Bayesian

Lr

Svm

Clustering

Kmeans

DBScan

CHAMELEON

Gmm

Decision Tree

ID3

C4.5

Adaboost

Gbdt

Mining Association Rules

Apriori

Fp-tree

Sequence Markers

HMM1

HMM2

Memm

Crf

Topic model

Pca

Lsa

pLSA

Lda

Neural network

Bp

Sofm

Cnn

Data Mining Learning Checklist (reprint)