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4min chapter
Data Debt in Machine Learning with D. Sculley - #574
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Why Do We Do Machine Learning?
Machine learning is much more difficult than traditional softwere, from a testing invalidation perspective. It's because we don't actually know how to write down an algritm in code that is going to have all the correct behaviors. And so we use machine learning in situations where we can have a formal verification of what it is we want our models to do. The whole field of machine learning has come developed on this idea of i i d test sets.
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