Training vs. Testing Data: How to Prevent Model Memorization in Machine Learning

Picture this: You’re tutoring a student for an upcoming math test. You help them solve dozens of practice problems over several days, and by the end, they’re getting every problem right. You feel confident they’ve mastered the material. However, on test day, they struggle when faced with new problems that require applying the same concepts […]

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Prediction vs Inference: Different Goals in ML Analysis

Balancing Accuracy and Explainability in Machine Learning Have you ever wondered why some Machine Learning applications can make incredibly accurate recommendations but can’t explain why, while others provide clear reasoning but aren’t quite as precise? This fundamental difference stems from one of machine learning’s most important conceptual distinctions: prediction versus inference. In our ongoing exploration […]

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