Because, let's be honest, who needs a brain that's not constantly at war with itself?
Regularization is like the strict parent of machine learning. It's always trying to reign in those unruly models, saying "no, no, no, no, no" to those pesky neural networks.
But don't worry, sissy regularization has got your back. It's like a trusty sidekick, always there to save the day with its lambda and its L1/L2.