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	AI-1.0X: Machine Learning Regularization: L1 and L2 Norm (Deep Eigen) View
	AI-1.0X: Machine Learning Regularization: L2 Norm Regularization (Deep Eigen) View
	AI-1.0X: Machine Learning Regularization: Subgradient Descent for L1 Regularized Linear Regression (Deep Eigen) View
	AI-1.0X: Machine Learning Regularization: Subgradient Descent and ISTA Introduction (Deep Eigen) View
	AI-1.0X: Machine Learning Regularization: Understanding Majorization Function (Deep Eigen) View
	AI-1.0X: Machine Learning Regularization: ISTA and Introduction to Majorization Minimization (Deep Eigen) View
	AI-1.0X: Machine Learning Regularization: Majorization Minimization Principle (Deep Eigen) View
	AI-1.0X: Machine Learning Regularization: Operations that preserve the convexity of a function (Deep Eigen) View
	AI-1.0X: Machine Learning Regularization: MAP Estimate and Regularization (Deep Eigen) View
	AI-1.0X: Machine Learning: Regularization: Bayes Theorem, and Laplacian and Gaussian Priors (Deep Eigen) View