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2min chapter
Evaluating models without test data
Practical AI: Machine Learning, Data Science, LLM
Introduction
The way noral networks learn is they learn the multifractile nature of the data. That's why they work so well on things like texts and images, and why they don't work great on tabular data sets. All natural data has a power law structure, a fractule structure to it. And every layer of aneral network gives you some measure of the fractil properties in that level of granularity.
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