| List of machine learning algorithms Supervised learning- AODE
- Artificial neural network
- Bayesian statistics
- Case-based reasoning
- Decision trees
- Inductive logic programming
- Gaussian process regression
- Gene expression programming
- Group method of data handling (GMDH)
- Learning Automata
- Learning Vector Quantization
- Logistic Model Tree
- Minimum message length (decision trees, decision graphs, etc.)
- Lazy learning
- Instance-based learning
- Nearest Neighbor Algorithm
- Analogical modeling
- Probably approximately correct learning (PAC) learning
- Ripple down rules, a knowledge acquisition methodology
- Symbolic machine learning algorithms
- Subsymbolic machine learning algorithms
- Support vector machines
- Random Forests
- Ensembles of classifiers
- Bootstrap aggregating (bagging)
- Boosting (meta-algorithm)
- Ordinal classification
- Regression analysis
- Information fuzzy networks (IFN)
Statistical classification Unsupervised learning Association rule learning- Apriori algorithm
- Eclat algorithm
- FP-growth algorithm
Hierarchical clustering- Single-linkage clustering
- Conceptual clustering
Partitional clustering Reinforcement learning Others |
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