View source for Template:Machine learning

{{Sidebar with collapsible lists
| name = Machine learning
| pretitle = Part of a series on
| title = [[Machine learning]]<br/>and [[data mining]]
| imagestyle = 
| headingstyle = 
| titlestyle = 
| listtitlestyle = border-top:1px solid #aaa; text-align:center;background-color:#e0e0e0;
| listclass = hlist
| expanded = {{{expanded|{{{1|none}}}}}}

| list1title = Paradigms
| list1name = Paradigms
| list1class = machine-learning-list-title
| list1 = 
* [[Supervised learning]]
* [[Unsupervised learning]]
* [[Semi-supervised learning]]
* [[Self-supervised learning]]
* [[Reinforcement learning]]
* [[Meta-learning (computer science)|Meta-learning]]
* [[Online machine learning|Online learning]]
* [[Batch learning]]
* [[Curriculum learning]]
* [[Rule-based machine learning|Rule-based learning]]
* [[Neuro-symbolic AI]]
* [[Neuromorphic engineering]]
* [[Quantum machine learning]]

| list2title = Problems
| list2name = Problems
| list2class = machine-learning-list-title
| list2 = 
* [[Statistical classification|Classification]]
* [[Generative model|Generative modeling]]
* [[Regression analysis|Regression]]
* [[Cluster analysis|Clustering]]
* [[Dimensionality reduction]]
* [[Density estimation]]
* [[Anomaly detection]]
* [[Data cleaning]]
* [[Automated machine learning|AutoML]]
* [[Association rule learning|Association rules]]
* [[Semantic analysis (machine learning)|Semantic analysis]]
* [[Structured prediction]]
* [[Feature engineering]]
* [[Feature learning]]
* [[Learning to rank]]
* [[Grammar induction]]
* [[Ontology learning]]
* [[Multimodal learning]]

| list3title = {{longitem |[[Supervised learning]]<br/>{{nobold|{{small|('''[[Statistical classification|classification]]'''{{•}}'''[[Regression analysis|regression]]''')}}}} }}
| list3name = Supervised learning
| list3class = machine-learning-list-title
| list3 = 
* [[Apprenticeship learning]]
* [[Decision tree learning|Decision trees]]
* [[Ensemble learning|Ensembles]]
** [[Bootstrap aggregating|Bagging]]
** [[Boosting (machine learning)|Boosting]]
** [[Random forest]]
* [[k-nearest neighbors algorithm|''k''-NN]]
* [[Linear regression]]
* [[Naive Bayes classifier|Naive Bayes]]
* [[Artificial neural network]]s
* [[Logistic regression]]
* [[Perceptron]]
* [[Relevance vector machine|Relevance vector machine (RVM)]]
* [[Support vector machine|Support vector machine (SVM)]]

| list4title = [[Cluster analysis|Clustering]]
| list4name = Clustering
| list4class = machine-learning-list-title
| list4 = 
* [[BIRCH]]
* [[CURE algorithm|CURE]]
* [[Hierarchical clustering|Hierarchical]]
* [[k-means clustering|''k''-means]]
* [[Fuzzy clustering|Fuzzy]]
* [[Expectation–maximization algorithm|Expectation–maximization (EM)]]
* <br/>[[DBSCAN]]
* [[OPTICS algorithm|OPTICS]]
* [[Mean shift]]

| list5title = [[Dimensionality reduction]]
| list5name = Dimensionality reduction
| list5class = machine-learning-list-title
| list5 = 
* [[Factor analysis]]
* [[Canonical correlation|CCA]]
* [[Independent component analysis|ICA]]
* [[Linear discriminant analysis|LDA]]
* [[Non-negative matrix factorization|NMF]]
* [[Principal component analysis|PCA]]
* [[Proper generalized decomposition|PGD]]
* [[t-distributed stochastic neighbor embedding|t-SNE]]
* [[Sparse dictionary learning|SDL]]

| list6title = [[Structured prediction]]
| list6name = Structured prediction
| list6class = machine-learning-list-title
| list6 = 
* [[Graphical model]]s 
** [[Bayesian network|Bayes net]]
** [[Conditional random field]]
** [[Hidden Markov model|Hidden Markov]]

| list7title = [[Anomaly detection]]
| list7name = Anomaly detection
| list7class = machine-learning-list-title
| list7 = 
* [[Random sample consensus|RANSAC]]
* [[K-nearest neighbors algorithm|''k''-NN]]
* [[Local outlier factor]]
* [[Isolation forest]]

| list8title = [[Neural network (machine learning)|Neural networks]]
| list8name = Neural networks
| list8class = machine-learning-list-title
| list8 = 
* [[Autoencoder]]
* [[Deep learning]]
* [[Feedforward neural network]]
* [[Recurrent neural network]]
** [[Long short-term memory|LSTM]] 
** [[Gated recurrent unit|GRU]]
** [[Echo state network|ESN]]
** [[reservoir computing]]
* [[Boltzmann machine]]
** [[Restricted Boltzmann machine|Restricted]]
* [[Generative adversarial network|GAN]]
* [[Diffusion model]]
* [[Self-organizing map|SOM]]
* [[Convolutional neural network]]
** [[U-Net]]
** [[LeNet]]
** [[AlexNet]]
** [[DeepDream]]
* [[Neural field]]
** [[Neural radiance field]]
** [[Physics-informed neural networks]]
* [[Transformer (deep learning architecture)|Transformer]]
** [[Vision transformer|Vision]]
* [[Mamba (deep learning architecture)|Mamba]]
* [[Spiking neural network]]
* [[Memtransistor]]
* [[Electrochemical RAM]] (ECRAM)

| list9title = [[Reinforcement learning]]
| list9name = Reinforcement learning
| list9class = machine-learning-list-title
| list9 = 
* [[Q-learning]]
* [[Policy gradient method|Policy gradient]]
* [[State–action–reward–state–action|SARSA]]
* [[Temporal difference learning|Temporal difference (TD)]]
* [[Multi-agent reinforcement learning|Multi-agent]]
** [[Self-play (reinforcement learning technique)|Self-play]]

| list10title = Learning with humans
| list10name = Learning with humans
| list10class = machine-learning-list-title
| list10 = 
* [[Active learning (machine learning)|Active learning]]
* [[Crowdsourcing]]
* [[Human-in-the-loop]]
* [[Mechanistic interpretability]]
* [[Reinforcement learning from human feedback|RLHF]]

| list11title = Model diagnostics
| list11name = Model diagnostics
| list11class = machine-learning-list-title
| list11 = 
* [[Coefficient of determination]]
* [[Confusion matrix]]
* [[Learning curve (machine learning)|Learning curve]]
* [[Receiver operating characteristic|ROC curve]]

| list12title = Mathematical foundations
| list12name = Mathematical foundations
| list12class = machine-learning-list-title
| list12 = 
* [[Kernel machines]]
* [[Bias–variance tradeoff]]
* [[Computational learning theory]]
* [[Empirical risk minimization]]
* [[Occam learning]]
* [[Probably approximately correct learning|PAC learning]]
* [[Statistical learning theory|Statistical learning]]
* [[Vapnik–Chervonenkis theory|VC theory]]
* [[Topological deep learning]]

| list13title = Journals and conferences
| list13name = Journals and conferences
| list13class = machine-learning-list-title
| list13 = 
* [[AAAI Conference on Artificial Intelligence|AAAI]]
* [[ECML PKDD]]
* [[Conference on Neural Information Processing Systems|NeurIPS]]
* [[International Conference on Machine Learning|ICML]]
* [[International Conference on Learning Representations|ICLR]]
* [[International Joint Conference on Artificial Intelligence|IJCAI]]
* [[Machine Learning (journal)|ML]]
* [[Journal of Machine Learning Research|JMLR]]

| list14title = Related articles
| list14name = Related articles
| list14class = machine-learning-list-title
| list14 = 
* [[Glossary of artificial intelligence]]
* [[List of datasets for machine-learning research]]
** [[List of datasets in computer vision and image processing]]
* [[Outline of machine learning]]

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[[Category:Statistics sidebar templates]]
[[Category:Computer science sidebar templates‎]]
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