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ML (Classification (Kernel discriminant analysis, K-Nearest Neighbors,…
ML
Classification
Kernel discriminant analysis
K-Nearest Neighbors
Artificial neural networks (ANN)
Support vector machine (SVM)
Random forests
Decision trees
Boosted trees
Logistic regression
naive Bayes
Deep learning
Regression
Kernel regression
Gaussian process regression
Regression trees
Linear regression
Support vector regression
LASSO
Dimension reduction
Manifold learning/KPCA
Principal component analysis
Independent component analysis
Gaussian graphical models
Non-negative matrix factorization
Compressed sensing
Clustering
Mean-shift
Hierarchical clustering
K-means
Topic models
Testing and matching
Minimum spanning tree
Bipartite cross-matching
N-point correlation
Multivariate querying
Nearest neighbors
Range search
Farthest neighbors
Density estimation
Kernel density estimation
Mixture of Gaussians
Density estimation tree