Regularization Part 1 - Ridge (L2) Regression

Learn about Ridge Regression, a powerful technique to prevent overfitting in machine learning models, in this 20-minute educational video. Explore how Ridge Regression desensitizes models to training data, solves unsolvable equations, and applies to various scenarios including discrete variables, logistic regression, and complex models. Discover its benefits when working with limited data and gain a comprehensive understanding of this regularization method. Build upon previous knowledge of bias, variance, linear regression, t-tests, ANOVA, design matrices, and cross-validation to enhance your grasp of statistical concepts and machine learning techniques.

Awesome song and introduction
Ridge Regression main ideas
Ridge Regression details
Ridge Regression for discrete variables
Ridge Regression for Logistic Regression
Ridge Regression for fancy models
Ridge Regression when you don't have much data
Summary of concepts
I meant to say "Negative Log-Likelihood" instead of "Likelihood".