Lec 12: Parameter Estimation and Bayesian Estimation

Lec 12: Parameter Estimation and Bayesian Estimation

Lec 11: Parameter Estimation and Maximum Likelihood EstimationПодробнее

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Lec 33 : Introduction to Machine Learning - IVПодробнее

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Mod-05 Lec-12 Nonparametric estimation, Parzen Windows, nearest neighbour methodsПодробнее

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Mod-03 Lec-09 Sufficient Statistics; Recursive formulation of ML and Bayesian estimatesПодробнее

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Mod-03 Lec-07 Bayesian estimation of parameters of density functions, MAP estimatesПодробнее

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Mod-03 Lec-08 Bayesian Estimation examples; the exponential family of densities and ML estimatesПодробнее

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Mod-03 Lec-06 Maximum Likelihood estimation of different densitiesПодробнее

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Lec-1 IntroductionПодробнее

Lec-1 Introduction

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