Ask Slater When measuring the classification accuracy on the training set, can I take a sample of it or should I use it entirely? July 26, 2017 by jeremystinson Usually inference is the fast part so you measure on the whole dataset once per epoch. The problem with measuring on a sample is that for most useful things (like measuring test/train divergence) this injects so much noise into the signal that it’s much less useful. It’s contingent more on the overall size of your […] Read more »
Business Developers Machine Learning Building Better Search July 10, 2017 / October 9, 2025 by jeremystinson In speech and writing, how often do we use one term — and only that term — to describe an idea? For example, if you were searching through a document for information relating to a business’ current assets, looking up only “current assets” would mean that you miss out on anything discussing cash, short-term assets, […] Read more »