. Gitbookhttps://shunliz.gitbooks.io/machine-learning/content/

[email protected]

T*o

• Lagrange Multiplier) KKT
• MCMCM-H
• Gibbs
• LAPACK
• numpy,scikit
• Pandas,pySpark
• tensorflow, keras
• tensorflow, keras
• PCA
• ICA
• One-hot
• scikit-learn PCA
• LDA
• scikit-learnLDA
• (SVD)
• (LLE)
• scikit-learn LLE
• spark
• Spark
• 1.
• 10.
• 11.K-L
• Logistic
• Logistic
• SoftMax
• ID3
• C4.5
• CART
• SVM
• SVM
• SMO
• SVM
• scikit-learn SVM
• SVM
• Adaboost
• scikit-learn Adaboost
• GBDT
• scikit GBDT
• Bagging
• XGBOOST
• scikit-learn
• K-Mean
• KNN
• scikit-learn KNN
• KNN
• scikit-learn K-Means
• BIRCH
• scikit-learn BIRCH
• DBSCAN
• scikit-learn DBSCAN
• spectral clustering
• scikit-learn
• (CCA)
• Apriori
• FP Tree
• PrefixSpan
• Spark FP TreePrefixSpan
• SimRank
• Spark
• (Factorization Machines)
• MapReduce ItemCF
• 10
• EM
• scikit-learn
• LDA
• HMM
• HMM
• -HMM
• hmmlearnHMM
• CRF
• DNN
• DNN(BP)
• 2
• DNN
• DNN
• (Convolutional Neural Netowrk)
• (CNN)
• (CNN)
• (CNN)
• (Generative Adversarial Networks)
• GAN
• InfoGAN
• DCGAN
• VAE
• RBM code
• DBN
• RBM
• RNN
• Bidirectional RNNs
• Deep (Bidirectional) RNNs
• LSTM
• BPTT
• (RNN)
• sparse
• Keras
• word2vec
• CBOWSkip-Gram
• Hierarchical Softmax
• Negative Sampling
• Q-Learning
• bandit
• (Multi-arm Bandits)
• MDP
• A3C
• Multi-steps bootstraping
• Planning and Learning with Tabular Methods
• DQN
• Policy Gridient
• Actor Critic
• DDPG (Deep Deterministic Policy Gradient)
• PPO(Proximal Policy Optimization )
• Alpha-Beta
• NEAT
• HashTrick
• TF-IDF
• (LSI)
• (NMF)
• LDA
• LDAGibbs
• LDAEM
• scikit-learn LDA
• GMM-HMM
• mobilenet
• ResNet
• AI
• AI
• AutoML
• AI

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Logistic RegressionBack Propagation Neural Network

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AprioriK-Means

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Graph InferenceLaplacian SVM.

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Q-LearningTemporal difference learning

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Ordinary Least SquareLogistic RegressionStepwise RegressionMultivariate Adaptive Regression SplinesLocally Estimated Scatterplot Smoothing

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k-Nearest Neighbor(KNN), Learning Vector Quantization LVQSelf-Organizing Map SOM

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Ridge Regression Least Absolute Shrinkage and Selection OperatorLASSOElastic Net

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Classification And Regression Tree CART ID3 (Iterative Dichotomiser 3) C4.5 Chi-squared Automatic Interaction Detection(CHAID), Decision Stump, Random Forest MARSGradient Boosting Machine GBM

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Averaged One-Dependence Estimators AODEBayesian Belief NetworkBBN

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SVM Support Vector Machine SVM Radial Basis Function RBF) Linear Discriminate Analysis LDA)

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k-MeansExpectation Maximization EM

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AprioriEclat

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Perceptron Neural Network, Back Propagation HopfieldSelf-Organizing Map, SOMLearning Vector Quantization LVQ

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Restricted Boltzmann Machine RBN Deep Belief NetworksDBNConvolutional Network, Stacked Auto-encoders

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Principle Component Analysis PCAPartial Least Square RegressionPLS SammonMulti-Dimensional Scaling, MDS, Projection Pursuit

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Boosting Bootstrapped AggregationBagging AdaBoostStacked Generalization BlendingGradient Boosting Machine, GBMRandom Forest

Transformer

BERT

GPT

LangChain

LLMA