L1 Or Lasso Regression

• Though the name suggests Regression, it's a Regularization method for preventing Overfitting

[!def] L1 / Lasso Regression
$$
Loss = loss_{prev} + \lambda |W|
$$

• As it is using absolute value, so the slope can go to 0
  • So L1 regression can be used as Feature Selection