AI Today Podcast: AI Glossary Series – Ensemble Models

Sometimes for reasons such as improving performance or robustness it makes sense to combine the results of multiple different models trained on the same data. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Ensemble Models, and explain how it relates to AI and why it's important to know about them.



Show Notes:



FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryGlossary Series: Artificial IntelligenceAI Glossary Series - Machine Learning, Algorithm, …

algorithm artificial bias data ensemble free glossary inference machine machine learning multiple notes overfitting performance podcast prediction robustness sense series training underfitting variance