01What is the 'Normal Equation' in regression?
02How does 'Stochastic Gradient Descent' (SGD) differ from 'Batch Gradient Descent'?
03What is the difference between Ridge (L2) and Lasso (L1) regularization?
04In the 'Bias-Variance Tradeoff', what does 'High Bias' typically represent?
05What does 'Huber Regression' provide that standard Linear Regression doesn't?
06What is a 'Residual' in regression analysis?
07In Gradient Descent, what happens if the 'Learning Rate' is too high?
08What is 'Polynomial Regression'?
09What does 'R-Squared' (Coefficient of Determination) measure?
10Which loss function is most sensitive to outliers?