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Underfitting (too simple) vs. Overfitting (too complex). These two problems are linked by the "Bias-Variance Tradeoff," the central balancing act of all AI. In this episode, we explain this crucial concept, what bias and variance mean in this context, and how it gives you a powerful new framework for understanding the nature of any AI model's errors.
#BiasVarianceTradeoff #AIinHealthcare #MachineLearning #ClinicalAI #HealthTech #DataScience #CriticalAppraisal #MedicalEducation #MedEd #ai in medicine Music generated by Mubert https://mubert.com/render
By Stephen AugerUnderfitting (too simple) vs. Overfitting (too complex). These two problems are linked by the "Bias-Variance Tradeoff," the central balancing act of all AI. In this episode, we explain this crucial concept, what bias and variance mean in this context, and how it gives you a powerful new framework for understanding the nature of any AI model's errors.
#BiasVarianceTradeoff #AIinHealthcare #MachineLearning #ClinicalAI #HealthTech #DataScience #CriticalAppraisal #MedicalEducation #MedEd #ai in medicine Music generated by Mubert https://mubert.com/render