Machine Learning, Artificial Intelligence, Data Science, Heartbreak, Linear Regression.
learned by the model. The only issue is that they have an inverse relationship: reducing one increases the other. This is known as the bias-variance tradeoff. With this knowledge, you should have some insight into what regularization is and how we use it to combat overfitting. In case you don’t: