Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
When the healthcare industry talks about data, the conversation usually focuses on interoperability and data standards. These are certainly important topics, but they don’t fully address the challenge ...
Do you agree? Data normalization isn’t the finish line. Harmonization is. Even after basic normalization, datasets can drift ...
AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...
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