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These Three Theories Help Us Understand Overfitting and Underfitting in Machine Learning Models

Last Updated on March 29, 2022 by Editorial Team

Author(s): Jesus Rodriguez

Originally published on Towards AI the World’s Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses.

Occam’s Razor, VC Dimension, and the No-Free Lunch Theorem can help us think about overfitting and underfitting in ML solutions.

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