HBO and The Ringer's Bill Simmons hosts the most downloaded sports podcast of all time, with a rotating crew of celebrities, athletes, and media staples, as well as mainstays like Cousin Sal, Joe House, and a slew of other friends and family members who always happen to be suspiciously available.
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Why do some AI models get 99% accuracy in a study but fail in the real world? The answer is "overfitting" – a critical flaw where a model memorises data instead of learning from it. In this episode, we use the analogy of an over-crammed student to explain what overfitting is and give you the key question you must ask to spot it in any research paper.
#Overfitting #AIinHealthcare #MachineLearning #ClinicalAI #HealthTech #CriticalAppraisal #DataScience #MedicalEducation #MedEd #ai in medicine Music generated by Mubert https://mubert.com/render
51 episodes