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List of machine learning concepts

list of machine learning concepts and theories, list of machine learning concepts for preschoolers

Contents

  • 1 Supervised learning
  • 2 Unsupervised learning
    • 21 Artificial neural network
    • 22 Association rule learning
    • 23 Hierarchical clustering
    • 24 Cluster analysis
    • 25 Outlier Detection
  • 3 Semi-supervised 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
  • Case-based reasoning
  • Gaussian process regression
  • Gene expression programming
  • Group method of data handling GMDH
  • Inductive logic programming
  • Instance-based 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 meta-algorithm
  • 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
  • k-nearest neighbor
  • Boosting
  • Decision trees
    • C45
    • Random forests
    • ID3
    • CART
    • SLIQ
    • SPRINT
  • Bayesian networks
    • Naive Bayes
  • Hidden Markov models

Unsupervised learning

  • Expectation-maximization algorithm
  • Vector Quantization
  • Generative topographic map
  • Information bottleneck method

Artificial neural network

  • Self-organizing map

Association rule learning

  • Apriori algorithm
  • Eclat algorithm
  • FP-growth algorithm

Hierarchical clustering

  • Single-linkage clustering
  • Conceptual clustering

Cluster analysis

  • K-means algorithm
  • Fuzzy clustering
  • DBSCAN
  • OPTICS algorithm

Outlier Detection

  • Local Outlier Factor

Semi-supervised learning

  • Generative models
  • Low-density separation
  • Graph-based methods
  • Co-training

Reinforcement learning

  • Temporal difference learning
  • Q-learning
  • Learning Automata
  • SARSA

Deep learning

  • Deep belief networks
  • Deep Boltzmann machines
  • Deep Convolutional neural networks
  • Deep Recurrent neural networks
  • Hierarchical temporal memory

Others

  • Data Pre-processing
  • List of artificial intelligence projects
  • List of datasets for machine learning research

list of machine learning concepts and theories, list of machine learning concepts for preschoolers, list of machine learning concepts in psychology, list of machine learning concepts inc


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List of machine learning concepts


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    List of machine learning concepts beatiful post thanks!

    29.10.2014


List of machine learning concepts
List of machine learning concepts
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