Machine learning
For the journal, see Machine Learning (journal). "Statistical learning" redirects here. For statistical learning in linguistics, see statistical learning in language acquisition. Machine learning and data mining Problems Classification Clustering Regression Anomaly detection AutoML Association rules Reinforcement learning Structured prediction Feature engineering Feature learning Online learning Semi-supervised learning Unsupervised learning Learning to rank Grammar induction Supervised learning ( classification • regression ) Decision trees Ensembles (Bagging, Boosting, Random forest) k -NN Linear regression Naive Bayes Neural networks Logistic regression Perceptron Relevance vector machine (RVM) Support vector machine (SVM) Clustering BIRCH CURE Hierarchical k -means Expectation–maximization (EM) DBSCAN OPTICS Mean-shift Dimensionality reduction Factor analysis CCA ICA LDA NMF PCA t-SNE Structured prediction Graphical models (Bayes net, CRF, HMM) Anomaly detection k -NN L...