List of machine learning concepts
From Infogalactic: the planetary knowledge core

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Contents
Supervised learning
 AODE
 Artificial neural network
 Bayesian statistics
 Casebased reasoning
 Gaussian process regression
 Gene expression programming
 Group method of data handling (GMDH)
 Inductive logic programming
 Instancebased learning
 Lazy learning
 Learning Automata
 Learning Vector Quantization
 Logistic Model Tree
 Minimum message length (decision trees, decision graphs, etc.)
 Probably approximately correct learning (PAC) learning
 Ripple down rules, a knowledge acquisition methodology
 Symbolic machine learning algorithms
 Support vector machines
 Random Forests
 Ensembles of classifiers
 Ordinal classification
 Information fuzzy networks (IFN)
 Conditional Random Field
 ANOVA
 Linear classifiers
 Quadratic classifiers
 knearest neighbor
 Boosting
 Decision trees
 Bayesian networks
 Hidden Markov models
Unsupervised learning
 Expectationmaximization algorithm
 Vector Quantization
 Generative topographic map
 Information bottleneck method
Artificial neural network
Association rule learning
Hierarchical clustering
Cluster analysis
Outlier Detection
Semisupervised learning
Reinforcement learning
Deep learning
 Deep belief networks
 Deep Boltzmann machines
 Deep Convolutional neural networks
 Deep Recurrent neural networks
 Hierarchical temporal memory