What is L1 regularization?
Updated May 15, 2026
Short answer
L1 adds absolute value penalty to cost function.
Deep explanation
Encourages sparsity by forcing some weights to zero.
Real-world example
Feature selection in high-dimensional datasets.
Common mistakes
- Assuming it behaves like L2 regularization.
Follow-up questions
- Why does L1 create sparsity?
- Where is it used?