When we first learn regression models, Linear Regression and Logistic Regression often appear side by side. Both are simple, both are widely used, and both rely on similar-looking equations. But when it comes to optimization, they couldn’t be more different. While linear regression can be solved with a simple formula, logistic regression requires us to rely on gradient-based optimization methods. Why…
