What Are Overfitting and Underfitting in Machine Learning?
Published in
6 min readJun 21, 2019
As you enter the realm of Machine Learning, several ambiguous terms will introduce themselves. Terms like Overfitting, Underfitting, and bias-variance trade-off. These concepts lie at the core of the field of Machine Learning in general. In this post, I explain those terms with an example.
Why should we even care?
Arguably, Machine Learning models have one sole purpose; to generalize well. I have mentioned this in several previous posts, but it never hurts to emphasize on it.
