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Class 02 - The Learning Problem and Regularization
9.520 - 09/14/2015 - Class 02 - Prof. Tomaso Poggio: The Learning Problem and Regularization
Regularization Part 1: Ridge (L2) Regression
Class 2 - Tikhonov regularization and kernels
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Lorenzo Rosasco, MIT, University of Genoa, IIT 9.520/6.860S Statistical Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your model ... 9.520 - 11/2/2015 - Class 16 - Prof. Lorenzo Rosasco: Consistency, Learnability and Regularization So this is uh this is what we're gonna do okay so this is our Lasso Regression is super similar to Ridge Regression, but there is one big, huge difference between the two. In this video, I start ...
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Last Updated: June 12, 2026
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