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Perpustakaan / Machine Learning
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Pustaka/Bidang/Machine Learning

Machine Learning

298 kaedah-kaedah
14 keluarga-keluarga kaedah

PALING BERHUBUNG DALAM MACHINE LEARNING

Random Forest
90 sambungan-sambungan dalam bidang ini
Semi-supervised Learning
64 sambungan-sambungan dalam bidang ini
XGBoost
46 sambungan-sambungan dalam bidang ini
Gradient Boosting
45 sambungan-sambungan dalam bidang ini
Boosting
39 sambungan-sambungan dalam bidang ini
Decision Tree
39 sambungan-sambungan dalam bidang ini
Online Learning
39 sambungan-sambungan dalam bidang ini
Transfer Learning
38 sambungan-sambungan dalam bidang ini
Self-supervised Learning
35 sambungan-sambungan dalam bidang ini
Isolation Forest
34 sambungan-sambungan dalam bidang ini

Menunjukkan 298 daripada 298 kaedah-kaedah

Machine learning228 kaedah-kaedah
Active learning Association rulesActive Learning Autoencoder Anomaly DetectionActive learning BoostingActive learning Decision treeActive Learning Federated LearningActive learning Gaussian mixture modelActive learning Gaussian processActive Learning Gradient BoostingActive learning Isolation forestActive learning K-nearest neighborsActive Learning LightGBMActive Learning Linear RegressionActive Learning Logistic RegressionActive learning One-class SVMActive Learning Self-supervised LearningActive learning Stacking ensembleActive learning Support vector machineActive Learning Voting EnsembleApriori AlgorithmAssociation RulesAutoencoder Anomaly DetectionBayesian Active LearningBayesian Association RulesBayesian Autoencoder Anomaly DetectionBayesian BaggingBayesian BoostingBayesian Decision TreeBayesian Federated LearningBayesian Few-Shot LearningBayesian Gaussian Mixture ModelBayesian Gaussian ProcessBayesian k-nearest neighborsBayesian LightGBMBayesian Metric LearningBayesian Naive BayesBayesian one-class SVMBayesian Online LearningBayesian Random ForestBayesian Semi-supervised LearningBayesian Stacking EnsembleBayesian Support Vector MachineBayesian Transfer LearningBayesian XGBoostBoostingEnsemble Active LearningEnsemble Apriori AlgorithmEnsemble Association RulesEnsemble Autoencoder Anomaly DetectionEnsemble Decision TreeEnsemble Federated LearningEnsemble Few-shot learningEnsemble Gaussian Mixture ModelEnsemble Gaussian ProcessEnsemble Gradient BoostingEnsemble HDBSCANEnsemble Isolation ForestEnsemble K-meansEnsemble K-nearest neighborsEnsemble Linear RegressionEnsemble Logistic RegressionEnsemble Metric LearningEnsemble Naive BayesEnsemble One-class SVMEnsemble Online LearningEnsemble Self-supervised LearningEnsemble Semi-supervised LearningEnsemble Support Vector MachineEnsemble Transfer LearningExplainable Association RulesExplainable Autoencoder Anomaly DetectionExplainable DBSCANExplainable Decision TreeExplainable Extra TreesExplainable FP-GrowthExplainable Gaussian Mixture ModelExplainable Gaussian ProcessExplainable Gradient BoostingExplainable HDBSCANExplainable Isolation ForestExplainable K-MeansExplainable K-Nearest NeighborsExplainable LightGBMExplainable Naive BayesExplainable One-Class SVMExplainable Random ForestExplainable Stacking EnsembleExplainable Support Vector MachineExplainable Voting EnsembleExplainable XGBoostExtra TreesFew-shot LearningGaussian ProcessK-meansLinear Regression (ML)Logistic regression (ML)Metric LearningOne-class SVMOnline Active learningOnline Association RulesOnline Autoencoder Anomaly DetectionOnline BaggingOnline BoostingOnline DBSCANOnline Decision TreeOnline Federated LearningOnline Few-shot LearningOnline FP-growthOnline Gaussian Mixture ModelOnline Gaussian ProcessOnline Gradient BoostingOnline HDBSCANOnline Isolation ForestOnline K-meansOnline K-nearest neighborsOnline LearningOnline LightGBMOnline Linear RegressionOnline Logistic RegressionOnline Metric LearningOnline Naive BayesOnline One-class SVMOnline Random ForestOnline Self-supervised LearningOnline Semi-supervised learningOnline Support Vector MachineOnline Transfer learningOnline Voting EnsembleRegularized BoostingRegularized CatBoostRegularized Decision TreeRegularized Federated LearningRegularized Few-Shot LearningRegularized Gaussian Mixture ModelRegularized Gaussian ProcessRegularized Gradient BoostingRegularized k-meansRegularized k-nearest neighborsRegularized LightGBMRegularized linear regressionRegularized Logistic RegressionRegularized Naive BayesRegularized Online LearningRegularized random forestRegularized semi-supervised learningRegularized Stacking EnsembleRegularized Support Vector MachineRegularized Transfer LearningRobust Active LearningRobust Autoencoder anomaly detectionRobust BaggingRobust BoostingRobust Decision TreeRobust Federated LearningRobust Gaussian Mixture ModelRobust Gaussian ProcessRobust Gradient BoostingRobust HDBSCANRobust Isolation forestRobust k-meansRobust LightGBMRobust Linear RegressionRobust Metric LearningRobust Naive BayesRobust One-class SVMRobust Online LearningRobust Random ForestRobust Stacking EnsembleRobust Support Vector MachineRobust Voting EnsembleRobust XGBoostSelf-supervised Active LearningSelf-supervised Autoencoder Anomaly DetectionSelf-supervised BoostingSelf-supervised DBSCANSelf-supervised Decision TreeSelf-supervised Federated learningSelf-supervised Few-shot LearningSelf-supervised Gaussian Mixture ModelSelf-supervised Gaussian ProcessSelf-supervised Gradient BoostingSelf-supervised Isolation ForestSelf-supervised K-meansSelf-supervised K-nearest neighborsSelf-supervised LearningSelf-supervised LightGBMSelf-supervised Logistic RegressionSelf-supervised Metric learningSelf-supervised Naive BayesSelf-supervised One-class SVMSelf-supervised Random ForestSelf-supervised Stacking EnsembleSelf-supervised Support Vector MachineSelf-supervised Transfer learningSemi-supervised Active LearningSemi-supervised Apriori AlgorithmSemi-supervised Association RulesSemi-supervised Autoencoder Anomaly DetectionSemi-supervised BaggingSemi-supervised BoostingSemi-supervised CatBoostSemi-supervised DBSCANSemi-supervised Decision TreeSemi-supervised Federated learningSemi-supervised Few-shot LearningSemi-supervised FP-growthSemi-supervised Gaussian Mixture ModelSemi-supervised Gaussian ProcessSemi-supervised Gradient BoostingSemi-supervised HDBSCANSemi-supervised Isolation ForestSemi-supervised K-meansSemi-supervised K-nearest neighborsSemi-supervised LearningSemi-supervised LightGBMSemi-supervised Linear RegressionSemi-supervised Logistic RegressionSemi-supervised Metric LearningSemi-supervised Naive BayesSemi-supervised One-class SVMSemi-supervised Online LearningSemi-supervised Random ForestSemi-supervised Stacking EnsembleSemi-supervised Support Vector MachineSemi-supervised Transfer LearningSemi-supervised Voting EnsembleSemi-supervised XGBoostTransfer LearningVoting Ensemble
ml-model42 kaedah-kaedah
AdaBoostAffinity PropagationBaggingBIRCHCatBoostDBSCANDecision TreeElastic NetGaussian Mixture ModelGeneralized Additive ModelGradient BoostingHDBSCANHierarchical ClusteringIsolation ForestK-Means ClusteringK-Nearest NeighborsLabel PropagationLasso RegressionLightGBMLocal Outlier FactorLocally Linear EmbeddingLOESSMARSMean ShiftMulti-layer PerceptronNaive BayesOPTICSPartial Least SquaresPrincipal Component AnalysisPrincipal Components RegressionRandom ForestRegression SplinesRidge RegressionSHAPSpectral ClusteringStackingStochastic Gradient DescentSupport Vector MachineSupport Vector Regressiont-SNEUMAPXGBoost
latent-structure7 kaedah-kaedah
Independent Component AnalysisIsomapKernel PCALatent Dirichlet AllocationLinear Discriminant AnalysisNon-negative Matrix FactorizationQuadratic Discriminant Analysis
Pattern mining5 kaedah-kaedah
Association Rule MiningECLATEmerging Pattern MiningFP-GrowthSequential Pattern Mining
Trustworthy ML4 kaedah-kaedah
Conformal PredictionFairness-Aware MLModel CalibrationOut-of-Distribution Detection
Dimensionality reduction2 kaedah-kaedah
Random ProjectionSelf-Organizing Map
Explainable AI2 kaedah-kaedah
Counterfactual ExplanationsLIME
Reinforcement learning2 kaedah-kaedah
Policy GradientQ-Learning
bayesian1 kaedah
Bayesian Ridge Regression
Clustering1 kaedah
Fuzzy C-Means
Interactive ML1 kaedah
Active Learning
Missing data1 kaedah
Matrix Completion
Recommender systems1 kaedah
Collaborative Filtering
Rule learning1 kaedah
Rule Induction

PANDANGAN SEKILAS BIDANG

Kaedah298
Keluarga Kaedah14
Kaedah Berhubung10+

BIDANG LAIN

Decision Making573 kaedah-kaedahEconometrics409 kaedah-kaedahDeep Learning336 kaedah-kaedahExperimental Design289 kaedah-kaedahStatistics288 kaedah-kaedahQualitative279 kaedah-kaedahCausal Inference211 kaedah-kaedahResearch Design203 kaedah-kaedahSemua bidang →
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