Template:Machine learning
{{Sidebar with collapsible lists
| name = Machine learning
| pretitle = Part of a series on
| title = Machine learning
and data mining
| imagestyle =
| headingstyle =
| titlestyle =
| listtitlestyle = border-top:1px solid #aaa; text-align:center;
| 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
- Online learning
- Batch learning
- Curriculum learning
- Rule-based learning
- Neuro-symbolic AI
- Neuromorphic engineering
- Quantum machine learning
| list2title = Problems
| list2name = Problems
| list2class = machine-learning-list-title
| list2 =
- Classification
- Generative modeling
- Regression
- Clustering
- Dimensionality reduction
- Density estimation
- Anomaly detection
- Data cleaning
- AutoML
- Association rules
- Semantic analysis
- Structured prediction
- Feature engineering
- Feature learning
- Learning to rank
- Grammar induction
- Ontology learning
- Multimodal learning
| list3title = {{longitem |Supervised learning
{{nobold|{{small|(classification{{•}}regression)}}}} }}
| list3name = Supervised learning
| list3class = machine-learning-list-title
| list3 =
- Apprenticeship learning
- Decision trees
- Ensembles
- Bagging
- Boosting
- Random forest
- k-NN
- Linear regression
- Naive Bayes
- Artificial neural networks
- Logistic regression
- Perceptron
- Relevance vector machine (RVM)
- Support vector machine (SVM)
| list4title = Clustering
| list4name = Clustering
| list4class = machine-learning-list-title
| list4 =
| list5title = Dimensionality reduction
| list5name = Dimensionality reduction
| list5class = machine-learning-list-title
| list5 =
| list6title = Structured prediction
| list6name = Structured prediction
| list6class = machine-learning-list-title
| list6 =
| list7title = Anomaly detection
| list7name = Anomaly detection
| list7class = machine-learning-list-title
| list7 =
| list8title = Artificial neural network
| list8name = Artificial neural network
| list8class = machine-learning-list-title
| list8 =
- Autoencoder
- Deep learning
- Feedforward neural network
- Recurrent neural network
- LSTM
- GRU
- ESN
- reservoir computing
- Boltzmann machine
- Restricted
- GAN
- Diffusion model
- SOM
- Convolutional neural network
- U-Net
- LeNet
- AlexNet
- DeepDream
- Neural radiance field
- Transformer
- Vision
- Mamba
- Spiking neural network
- Memtransistor
- Electrochemical RAM (ECRAM)
| list9title = Reinforcement learning
| list9name = Reinforcement learning
| list9class = machine-learning-list-title
| list9 =
| list10title = Learning with humans
| list10name = Learning with humans
| list10class = machine-learning-list-title
| list10 =
| list11title = Model diagnostics
| list11name = Model diagnostics
| list11class = machine-learning-list-title
| list11 =
| 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
- PAC learning
- Statistical learning
- VC theory
- Topological deep learning
| list13title = Journals and conferences
| list13name = Journals and conferences
| list13class = machine-learning-list-title
| list13 =
| 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
}}