List of machine learning concepts
list of machine learning concepts and theories, list of machine learning concepts for preschoolersContents
 1 Supervised learning
 2 Unsupervised learning
 21 Artificial neural network
 22 Association rule learning
 23 Hierarchical clustering
 24 Cluster analysis
 25 Outlier Detection
 3 Semisupervised learning
 4 Reinforcement learning
 5 Deep learning
 6 Others
Supervised learning
 AODE
 Artificial neural network
 Backpropagation
 Autoencoders
 Hopfield networks
 Boltzmann machines
 Restricted Boltzmann Machines
 Spiking neural networks
 Bayesian statistics
 Bayesian network
 Bayesian knowledge base
 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
 Nearest Neighbor Algorithm
 Analogical modeling
 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
 Bootstrap aggregating bagging
 Boosting metaalgorithm
 Ordinal classification
 Information fuzzy networks IFN
 Conditional Random Field
 ANOVA
 Linear classifiers
 Fisher's linear discriminant
 Linear regression
 Logistic regression
 Multinomial logistic regression
 Naive Bayes classifier
 Perceptron
 Support vector machines
 Quadratic classifiers
 knearest neighbor
 Boosting
 Decision trees
 C45
 Random forests
 ID3
 CART
 SLIQ
 SPRINT
 Bayesian networks
 Naive Bayes
 Hidden Markov models
Unsupervised learning
 Expectationmaximization algorithm
 Vector Quantization
 Generative topographic map
 Information bottleneck method
Artificial neural network
 Selforganizing map
Association rule learning
 Apriori algorithm
 Eclat algorithm
 FPgrowth algorithm
Hierarchical clustering
 Singlelinkage clustering
 Conceptual clustering
Cluster analysis
 Kmeans algorithm
 Fuzzy clustering
 DBSCAN
 OPTICS algorithm
Outlier Detection
 Local Outlier Factor
Semisupervised learning
 Generative models
 Lowdensity separation
 Graphbased methods
 Cotraining
Reinforcement learning
 Temporal difference learning
 Qlearning
 Learning Automata
 SARSA
Deep learning
 Deep belief networks
 Deep Boltzmann machines
 Deep Convolutional neural networks
 Deep Recurrent neural networks
 Hierarchical temporal memory
Others
 Data Preprocessing
 List of artificial intelligence projects
 List of datasets for machine learning research
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29.10.2014
List of machine learning concepts
List of machine learning concepts
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