AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion

AI Today Podcast: AI Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff

02.17.2023 - By AI & Data TodayPlay

Download our free app to listen on your phone

Download on the App StoreGet it on Google Play

When it comes to building ML models, you want to make a model simple enough so that it can handle a wide range of real-world data on the one hand, but not too simple that it overgeneralizes or underfits the available data. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Overfitting, Underfitting, Bias, Variance, and Bias/Variance Tradeoff, and explain how they relate to AI and why it's important to know about them.

Show Notes:

FREE Intro to CPMAI mini course

CPMAI Training and Certification

AI Glossary

Glossary Series: Artificial Intelligence

AI Glossary Series - Machine Learning, Algorithm, Model

Glossary Series: Prediction, Inference, and Generalization

More episodes from AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion