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	12.2 Probabilistic PCA - Pattern Recognition and Machine Learning (Sina Tootoonian) View
	Statistical Learning: 12.2 Higher order principal components (Stanford Online) View
	12.2 Multilevel Modelling: Problems with hierarchical data and attempted solutions (Guillermo Campitelli) View
	12.2 Geometry - Independent and Dependent Events - Example 1 (adamsmathtube) View
	8th TAP stats, section 12.2 - dependent/independent events (Kirk Humphreys @ Caruso Middle School) View
	Statistical Learning: 12.1 Principal Components (Stanford Online) View
	BADM 3.1: PCA Part 1 (Galit Shmueli) View
	12.2 Geometry - Independent and Dependent Events - Example 5 (adamsmathtube) View
	Bayesian Regression to Predict the Colour of Wine (B. Rel) View
	12.2 Notes Part 2 (Emily Leaf) View