Zum Inhalt springen

02-02Notizen

Eine Arbeitsbibliothek der Mathematik hinter der Analyse.

524 Notizen in 7 Bereichen, von der Notation bis zum maschinellen Lernen, auf Englisch. Jede behandelt eine Formel: was sie aussagt, ein kleines Rechenbeispiel und Code, der läuft. An Ort und Stelle überarbeitet. Seite 20 von 22.

IndexAlle Notizen

02-02-457Bayesian Information Criterion (BIC)Machine learningModel selection and information criteria 02-02-458Beta-Binomial Conjugacy PosteriorMachine learningModel selection and information criteria 02-02-459Posterior OddsMachine learningModel selection and information criteria 02-02-460Generative ModelMachine learningProbabilistic PCA (PPCA)02-02-461Latent Variable PriorMachine learningProbabilistic PCA (PPCA)02-02-462Marginal LikelihoodMachine learningProbabilistic PCA (PPCA)02-02-463PPCA MLE ParametersMachine learningProbabilistic PCA (PPCA)02-02-464Hard Margin OptimizationMachine learningSupport vector machines (SVM) and classification 02-02-465Hinge Loss FunctionMachine learningSupport vector machines (SVM) and classification 02-02-466Hypothesis FunctionMachine learningSupport vector machines (SVM) and classification 02-02-467Soft Margin Optimization (Primal)Machine learningSupport vector machines (SVM) and classification 02-02-468Subject toMachine learningSupport vector machines (SVM) and classification 02-02-469Unconstrained Hinge FormulationMachine learningSupport vector machines (SVM) and classification 02-02-470Gini Impurity (CART)Machine learningTree-based models and ensembles 02-02-471Information Gain, ID3/C4.5Machine learningTree-based models and ensembles 02-02-472Bias (of an estimator or model)Machine learningBias, variance and generalisation 02-02-473Bias–Variance Trade-off (decomposition of expected error)Machine learningBias, variance and generalisation 02-02-474OverfittingMachine learningBias, variance and generalisation 02-02-475UnderfittingMachine learningBias, variance and generalisation 02-02-476Variance (of an estimator or model)Machine learningBias, variance and generalisation 02-02-477Bayes Factor (Model Comparison)Machine learningEmpirical risk and its minimisation 02-02-478Empirical RiskMachine learningEmpirical risk and its minimisation 02-02-479Expected (True) RiskMachine learningEmpirical risk and its minimisation 02-02-480Linear PredictorMachine learningEmpirical risk and its minimisation

Entwurf · Freigabe ausstehend