Roadmap

📊 Classic ML Mind Map

44 knowledge points · click a node for its structured card

Same color = same guide topic. Hover a node for its dependency chain. Drag and zoom canvas. Export PNG or go fullscreen from the top-right.

Linear Regression OLSSVM Margin & DualityTrees & BaggingBoosting EvolutionK-Means AlgorithmNaive BayesClassification & Ranking MetricsValidation & Data QualitySHAP & LIMELinear Regression OLSLinear Regression OLSClick for definition & exam pointsVIF MulticollinearityVIF MulticollinearityClick for definition & exam pointsLogistic RegressionLogistic RegressionClick for definition & exam pointsMulticlass OvR/OvO/SoftmaxMulticlass OvR/OvO/SoftmaxClick for definition & exam pointsSVM Margin & DualitySVM Margin & DualityClick for definition & exam pointsSoft Margin & HingeSoft Margin & HingeClick for definition & exam pointsKernel Trick & RBFKernel Trick & RBFClick for definition & exam pointsDecision Tree SplittingDecision Tree SplittingClick for definition & exam pointsTree PruningTree PruningClick for definition & exam pointsBagging & Random ForestBagging & Random ForestClick for definition & exam pointsEnsemble ComparisonEnsemble ComparisonClick for definition & exam pointsAdaBoost DerivationAdaBoost DerivationClick for definition & exam pointsGBDT Negative GradientGBDT Negative GradientClick for definition & exam pointsXGBoost 2nd-OrderXGBoost 2nd-OrderClick for definition & exam pointsLightGBM GOSS & EFBLightGBM GOSS & EFBClick for definition & exam pointsK-Means AlgorithmK-Means AlgorithmClick for definition & exam pointsK-Means++ & K SelectionK-Means++ & K SelectionClick for definition & exam pointsDBSCAN & HierarchicalDBSCAN & HierarchicalClick for definition & exam pointsEM AlgorithmEM AlgorithmClick for definition & exam pointsGMM Soft AssignmentGMM Soft AssignmentClick for definition & exam pointsKNN & K SelectionKNN & K SelectionClick for definition & exam pointsDistance Metrics & IndexingDistance Metrics & IndexingClick for definition & exam pointsPCA & SVDPCA & SVDClick for definition & exam pointsNaive BayesNaive BayesClick for definition & exam pointsHMM Forward AlgorithmHMM Forward AlgorithmClick for definition & exam pointsViterbi DecodingViterbi DecodingClick for definition & exam pointsBaum-Welch (EM)Baum-Welch (EM)Click for definition & exam pointsLinear-Chain CRFLinear-Chain CRFClick for definition & exam pointsConfusion MatrixConfusion MatrixClick for definition & exam pointsPrecision, Recall & F1Precision, Recall & F1Click for definition & exam pointsROC-AUCROC-AUCClick for definition & exam pointsNDCGNDCGClick for definition & exam pointsMRR & GAUCMRR & GAUCClick for definition & exam pointsProbability CalibrationProbability CalibrationClick for definition & exam pointsCross-ValidationCross-ValidationClick for definition & exam pointsTime-Series CVTime-Series CVClick for definition & exam pointsClass ImbalanceClass ImbalanceClick for definition & exam pointsResampling MethodsResampling MethodsClick for definition & exam pointsHuber & Focal LossHuber & Focal LossClick for definition & exam pointsTarget EncodingTarget EncodingClick for definition & exam pointsData LeakageData LeakageClick for definition & exam pointsSHAP & LIMESHAP & LIMEClick for definition & exam pointsData Drift & PSIData Drift & PSIClick for definition & exam pointsLearning to RankLearning to RankClick for definition & exam points
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Linear Regression OLSSVM Margin & DualityDecision Tree SplittingK-Means AlgorithmNaive BayesConfusion Matrix