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#Tag

Machine learning foundations

#machine-learning-foundations · 15 entries. Projects, essays and notes, newest first.

02-02-472Bias (of an estimator or model)NoteBias, variance and generalisation 02-02-473Bias–Variance Trade-off (decomposition of expected error)NoteBias, variance and generalisation 02-02-474OverfittingNoteBias, variance and generalisation 02-02-475UnderfittingNoteBias, variance and generalisation 02-02-476Variance (of an estimator or model)NoteBias, variance and generalisation 02-02-484Fisher–Neyman Factorization TheoremNoteSufficient statistics and the Fisher–Neyman theorem 02-02-477Bayes Factor (Model Comparison)NoteEmpirical risk and its minimisation 02-02-478Empirical RiskNoteEmpirical risk and its minimisation 02-02-479Expected (True) RiskNoteEmpirical risk and its minimisation 02-02-480Linear PredictorNoteEmpirical risk and its minimisation 02-02-481Maximum A Posteriori, MAPNoteEmpirical risk and its minimisation 02-02-482Negative Log-LikelihoodNoteEmpirical risk and its minimisation 02-02-483Nested Cross-ValidationNoteModel selection and cross-validation 02-02-485Conjugate PriorNoteThe exponential family 02-02-486General FormNoteThe exponential family