machine-learning

100 entries in Machine Learning & AI.

• K-nearest neighborsEuclidean distancecanonmachine-learning
• K-nearest neighborsMahalanobis distancestandardmachine-learning
• K-nearest neighborsDistance-weighted votingstandardmachine-learning
• Condensed nearest neighborstandalonespecialistmachine-learning
• Edited nearest neighborMisclassified-instance removalspecialistmachine-learning
• Linear regressionOrdinary least squarescanonmachine-learning
• Ridge regressionL2 penaltycanonmachine-learning
• Lasso regressionL1 penalty via coordinate descentcanonmachine-learning
• Elastic netMixed L1-L2 penaltystandardmachine-learning
• LARSLeast-angle pathspecialistmachine-learning
• Logistic regressionIteratively reweighted least squarescanonmachine-learning
• PerceptronMistake-driven updatescanonmachine-learning
• Passive-aggressiveMargin-constrained updatesspecialistmachine-learning
• Support vector machineSequential minimal optimizationcanonmachine-learning
• Support vector machineRBF kernelcanonmachine-learning
• Support vector machineHinge-loss subgradientstandardmachine-learning
• Kernel trickstandalonestandardmachine-learning
• Naive BayesLaplace smoothingcanonmachine-learning
• Decision treeInformation gain splitscanonmachine-learning
• Decision treeGini impurity splitscanonmachine-learning
• Decision treeGain ratio splitsstandardmachine-learning
• CARTCost-complexity pruningcanonmachine-learning
• C4.5standalonestandardmachine-learning
• Random forestBootstrap feature baggingcanonmachine-learning
• Extremely randomized treesRandom split thresholdsstandardmachine-learning
• AdaBoostExponential reweightingcanonmachine-learning
• Gradient boostingFunctional gradient stagescanonmachine-learning
• XGBoostSecond-order split gaincanonmachine-learning
• LightGBMGradient-based one-side samplingstandardmachine-learning
• LightGBMHistogram leaf-wise growthstandardmachine-learning
• CatBoostOrdered target encodingspecialistmachine-learning
• StackingHeld-out meta-learnerstandardmachine-learning
• K-meansLloyd's iterationcanonmachine-learning
• K-meansK-means++ seedingcanonfull lesson ▸machine-learning
• K-meansElkan triangle-inequality skipsspecialistmachine-learning
• Mini-batch K-meansstandalonestandardmachine-learning
• K-medoidsPAM swap searchstandardmachine-learning
• Fuzzy c-meansSoft membership weightsspecialistmachine-learning
• Gaussian mixture modelExpectation-maximizationcanonfull lesson ▸machine-learning
• DBSCANDensity-reachabilitycanonmachine-learning
• OPTICSReachability orderingstandardmachine-learning
• HDBSCANCondensed cluster treestandardmachine-learning
• Mean shiftKernel density gradientstandardmachine-learning
• Agglomerative clusteringWard linkagecanonmachine-learning
• Agglomerative clusteringComplete linkagestandardmachine-learning
• Agglomerative clusteringSingle linkagestandardmachine-learning
• Spectral clusteringGraph-Laplacian eigenvectorsstandardmachine-learning
• Affinity propagationResponsibility-availability messagesspecialistmachine-learning
• BIRCHClustering-feature treespecialistmachine-learning
• Principal component analysisstandalonecanonmachine-learning
• Kernel PCAstandalonestandardmachine-learning
• t-SNEPerplexity-tuned affinitiescanonmachine-learning
• UMAPFuzzy simplicial setscanonmachine-learning
• IsomapGeodesic distance embeddingstandardmachine-learning
• Locally linear embeddingstandalonespecialistmachine-learning
• Laplacian eigenmapsstandalonespecialistmachine-learning
• Independent component analysisFastICA fixed-pointstandardmachine-learning
• Non-negative matrix factorizationMultiplicative updatesstandardmachine-learning
• BackpropagationStochastic gradient descentcanonmachine-learning
• BackpropagationAdam optimizercanonmachine-learning
• BackpropagationMomentumcanonmachine-learning
• BackpropagationRMSPropstandardmachine-learning
• BackpropagationAdaGradstandardmachine-learning
• BackpropagationAdamW decoupled decaystandardmachine-learning
• Backpropagation through timestandalonestandardmachine-learning
• Dropoutstandalonestandardmachine-learning
• Batch normalizationstandalonestandardmachine-learning
• Learning rate warmupCosine annealing schedulestandardmachine-learning
• Viterbi algorithmMax-product trelliscanonfull lesson ▸machine-learning
• Forward-backward algorithmstandalonestandardmachine-learning
• Baum-WelchEM for HMMsstandardmachine-learning
• Belief propagationstandalonestandardmachine-learning
• Loopy belief propagationstandalonespecialistmachine-learning
• Junction tree algorithmstandalonespecialistmachine-learning
• Gibbs samplingCoordinate-wise conditional drawscanonfull lesson ▸machine-learning
• Metropolis-HastingsProposal acceptance ratiocanonfull lesson ▸machine-learning
• Hamiltonian Monte CarloLeapfrog trajectoriesstandardmachine-learning
• No-U-Turn samplerTrajectory-length auto-tuningstandardmachine-learning
• Variational inferenceEvidence lower boundstandardmachine-learning
• Latent Dirichlet allocationCollapsed Gibbs samplingstandardmachine-learning
• Q-learningEpsilon-greedy explorationcanonmachine-learning
• SARSAstandalonestandardmachine-learning
• Deep Q-networkExperience replaycanonmachine-learning
• Double DQNDecoupled target selectionstandardmachine-learning
• Policy gradientREINFORCE baselinestandardmachine-learning
• Actor-criticAdvantage estimationcanonmachine-learning
• Proximal policy optimizationClipped surrogate objectivecanonmachine-learning
• Trust region policy optimizationKL trust regionspecialistmachine-learning
• Soft actor-criticEntropy-regularized objectivestandardmachine-learning
• Temporal difference learningEligibility tracesstandardmachine-learning
• Upper confidence boundstandalonecanonmachine-learning
• Thompson samplingPosterior drawscanonfull lesson ▸machine-learning
• Epsilon-greedyFixed exploration ratecanonmachine-learning
• Greedy banditAlways play the current leaderspecialistmachine-learning
• Uniform allocationEqual pulls per armspecialistmachine-learning
• EXP3Exponential-weight explorationstandardmachine-learning
• LinUCBRidge-confidence bonusstandardmachine-learning
• Isolation forestRandom split path lengthstandardmachine-learning
• Local outlier factorDensity-ratio scoringstandardmachine-learning
• Label propagationGraph-affinity spreadingspecialistmachine-learning