Predictive - The Overfitting Trap: Why Your Model Memorized the Menu Instead of Learning to Cook

Failed to add items

Sorry, we are unable to add the item because your shopping basket is already at capacity.

Add to cart failed.

Please try again later

Add to wishlist failed.

Please try again later

Remove from wishlist failed.

Please try again later

Follow podcast failed

Unfollow podcast failed

Predictive - The Overfitting Trap: Why Your Model Memorized the Menu Instead of Learning to Cook

Listen for free

View show details

About this listen

Nick Ledger explores the overfitting trap—when predictive models memorize data instead of learning patterns—and why this undermines decisions in finance, healthcare, and hiring. He explains how AI can fail when deployed beyond training data and shares validation techniques that separate genuine prediction from costly memorization.

Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV

This content was created in partnership and with the help of Artificial Intelligence AI

No reviews yet