Stop Overfitting Your Learning

Why does getting a 100% on your practice tests often lead to failure in the real world?

It's a concept from machine learning called overfitting. In machine learning, overfitting happens

when a model learns the noise and details of the training data so well that it fails to generalize

to new information. We do this too. We memorize the book, but we don't understand

the logic. We are training our brains on a static dataset while the world is dynamic.

To fix this, you need regularization. Simplify your models. Focus on the core patterns,

not the noise. Don't just study hard. Study for generalization. Stop overfitting

your life. Start building systems that work in the wild. Follow Anuic's pathway