Home›Machine Learning Algorithm›All Machine Learning AlgorithmBrowse ByAll Machine Learning AlgorithmReference and ClassificationDevelopingA named algorithm that learns a model or a policy from data or from experience, or that searches for a good decision by simulation and estimation rather than by an exact closed-form computation. Belongs here: Expectation Maximization Algorithm, Monte Carlo Tree Search, Naive Bayes Classifier Algorithm, Q-Learning Algorithm and Random Forest Algorithm, each defined by a learning or estimation procedure over data or simulated outcomes. Does not belong here: a general local-search optimization procedure with no learned model or data dependence, filed under Optimization Algorithm.FactsAll Machine Learning AlgorithmSourcesComments (0)Reader Challenges (0)FactsComparisonEra of EmergenceWell-attested1949 CE 1All Machine Learning AlgorithmFilter Results78 entriesCategoryAllClustering Algorithms (11)Decision Tree and Ensemble Learning Algorithms (10)Dimensionality Reduction and Matrix Factorization Algorithms (4)Neural Generative and Image Synthesis Methods (2)Neural Network Training and Representation Algorithms (4)Outlier Detection Algorithms (2)Pattern Mining and Recommendation Algorithms (4)Probabilistic Inference and Sampling Algorithms (12)Reinforcement Learning and Bandit Algorithms (5)Supervised and Online Learning Algorithms (5)Credited ToAllAndrew Viterbi (1)Geoffrey Hinton (2)Hans-Peter Kriegel (2)John von Neumann (1)Leo Breiman (1)Martin Ester (1)Nicholas Metropolis (1)Paul Viola (1)Rudolf E. Kálmán (1)Teuvo Kohonen (1)Tin Kam Ho (1)William Rae Thompson (1)Yoav Freund (1)ACM AreaAllAlgorithms and Complexity Theory (11)Computational Science (1)Computer Vision (2)Data Mining (5)Machine Learning (31)Natural Language Processing (3)Recommender Systems (2)GroupAllClustering Algorithms (11)Decision Tree and Ensemble Learning Algorithms (10)Dimensionality Reduction and Matrix Factorization Algorithms (4)Neural Generative and Image Synthesis Methods (2)Neural Network Training and Representation Algorithms (4)Outlier Detection Algorithms (2)Pattern Mining and Recommendation Algorithms (4)Probabilistic Inference and Sampling Algorithms (12)Reinforcement Learning and Bandit Algorithms (5)Supervised and Online Learning Algorithms (5)Invented ByAllAndrew Viterbi (1)Geoffrey Hinton (2)Hans-Peter Kriegel (2)Leo Breiman (1)Martin Ester (1)Nicholas Metropolis (1)Paul Viola (1)Ramakrishnan Srikant (1)Rudolf E. Kálmán (1)Stanisław Ulam (1)Teuvo Kohonen (1)Tin Kam Ho (1)William Rae Thompson (1)Yoav Freund (1)Design TechniqueAllDynamic Programming (1)Greedy (2)Heuristic or Approximation (2)Randomized (4)Show ResultsBrowseCompareSelect all 78Actor-Critic AlgorithmMachine Learning AlgorithmAdaBoost AlgorithmMachine Learning AlgorithmAffinity Propagation AlgorithmMachine Learning AlgorithmApriori AlgorithmMachine Learning AlgorithmBackpropagation AlgorithmMachine Learning AlgorithmBaum-Welch AlgorithmMachine Learning AlgorithmBehavior Selection AlgorithmMachine Learning AlgorithmBest Arm IdentificationMachine Learning AlgorithmBIRCH AlgorithmMachine Learning AlgorithmBootstrap aggregatingMachine Learning AlgorithmBootstrap Aggregating AlgorithmMachine Learning AlgorithmC4.5 AlgorithmMachine Learning AlgorithmCART AlgorithmMachine Learning AlgorithmCollaborative filteringMachine Learning AlgorithmComplete-linkage clusteringMachine Learning AlgorithmDBSCAN AlgorithmMachine Learning AlgorithmDecision tree learningMachine Learning AlgorithmDeep Q-Network AlgorithmMachine Learning AlgorithmDeepDreamMachine Learning AlgorithmDetection TransformerMachine Learning AlgorithmExpectation Maximization AlgorithmMachine Learning AlgorithmExplore-Then-Commit AlgorithmMachine Learning AlgorithmFuzzy Clustering AlgorithmMachine Learning AlgorithmGeneralized distributive lawMachine Learning AlgorithmGibbs Sampling AlgorithmMachine Learning AlgorithmGradient Boosting AlgorithmMachine Learning AlgorithmHierarchical Clustering AlgorithmMachine Learning AlgorithmID3 AlgorithmMachine Learning AlgorithmIsland AlgorithmMachine Learning AlgorithmIsolation Forest AlgorithmMachine Learning AlgorithmJunction tree algorithmMachine Learning AlgorithmKalman Filter AlgorithmMachine Learning AlgorithmK-Means Clustering AlgorithmMachine Learning AlgorithmK-Nearest Neighbors AlgorithmMachine Learning AlgorithmKnowledge distillationMachine Learning AlgorithmKrigingNumerical AlgorithmKullback-Leibler Upper Confidence BoundMachine Learning AlgorithmLatent Dirichlet Allocation AlgorithmMachine Learning AlgorithmLinear Discriminant Analysis AlgorithmMachine Learning AlgorithmLocal Outlier Factor AlgorithmMachine Learning AlgorithmMean ShiftMachine Learning AlgorithmMetropolis-Hastings AlgorithmMachine Learning AlgorithmMinimum Message LengthMachine Learning AlgorithmMonte Carlo methodNumerical AlgorithmMonte Carlo Tree SearchMachine Learning AlgorithmNaive Bayes Classifier AlgorithmMachine Learning AlgorithmNeural Style TransferMachine Learning AlgorithmNon-Negative Matrix Factorization AlgorithmMachine Learning AlgorithmOPTICS AlgorithmMachine Learning AlgorithmPagedAttentionMachine Learning AlgorithmParticle Filter AlgorithmMachine Learning AlgorithmPerceptron AlgorithmMachine Learning AlgorithmPrincipal Component Analysis AlgorithmMachine Learning AlgorithmProximal Policy Optimization AlgorithmMachine Learning AlgorithmQ-Learning AlgorithmMachine Learning AlgorithmRandom Forest AlgorithmMachine Learning AlgorithmRandom Sample Consensus AlgorithmMachine Learning AlgorithmRecommender SystemMachine Learning AlgorithmSARSA AlgorithmMachine Learning AlgorithmSelf-Organizing Map AlgorithmMachine Learning AlgorithmSequential Minimal OptimizationMachine Learning AlgorithmSequential Pattern MiningMachine Learning AlgorithmSparse Identification of Nonlinear DynamicsMachine Learning AlgorithmSpectral Clustering AlgorithmMachine Learning AlgorithmSpreading activationMachine Learning AlgorithmStochastic Gradient Descent AlgorithmMachine Learning AlgorithmSymbolic RegressionMachine Learning Algorithmt-Distributed Stochastic Neighbor EmbeddingMachine Learning AlgorithmText-to-Video ModelMachine Learning AlgorithmThompson samplingMachine Learning AlgorithmUniversal Portfolio AlgorithmMachine Learning AlgorithmUPGMAMachine Learning AlgorithmViola-Jones AlgorithmMachine Learning AlgorithmViterbi AlgorithmMachine Learning AlgorithmWitten-Bell discountingMachine Learning AlgorithmWord2VecMachine Learning AlgorithmWPGMAMachine Learning AlgorithmXGBoost AlgorithmMachine Learning AlgorithmSources1. Wikipedia: Machine learningtier 2WikipediaMachine learning, History sectionQuote, Machine learning, History sectionIn 1949, Canadian psychologist Donald Hebb published the book The Organization of Behavior, in which he introduced a theoretical neural structure formed by certain interactions among nerve cells.View the SourceComments (0)No comments yet. Be the first to share a thought.Sign in to join the discussion.Reader Challenges (0)No disputes yet. Spotted an error or a better source? Open the first one.Sign in to dispute this or suggest a correction.