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	4.3 Gaussian Posteriors (UvA - Machine Learning 1 - 2020) (Erik Bekkers) View
	4.5 Bayesian Predictive Distributions (UvA - Machine Learning 1 - 2020) (Erik Bekkers) View
	4.4 Sequential Bayesian Learning (UvA - Machine Learning 1 - 2020) (Erik Bekkers) View
	13.1 Model Combination Methods Vs Bayesian Model Averaging (UvA - Machine Learning 1 - 2020) (Erik Bekkers) View
	12.2 Kernelizing Bayesian Regression (UvA - Machine Learning 1 - 2020) (Erik Bekkers) View
	Derivation of Gaussian Posterior (Anish Turlapaty) View
	08 Linear Classification, pt 2/3 Linear Discriminant Models (Patrick van der Smagt) View
	Derivation of Univariate Sequential Bayesian Estimation (Anish Turlapaty) View
	(ML 10.4) Predictive distribution for linear regression (part 1) (mathematicalmonk) View
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