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> Interpretable Machine Learning ...is called statistics. At least, truly interpretable machine learning is. The whole point of that 'machine learning' (or god
by 0815test 7y ago
> Interpretable Machine Learning
...is called statistics. At least, truly interpretable machine learning is. The whole point of that 'machine learning' (or god forbid, 'data science') moniker, as opposed to 'computational statistics', is a way of saying "we have no idea what we're doing!" It's magic!
- why-el 7y agoSure, I see what you mean, but he is trying to help people who are navigating "machine learning", whatever that is. Your argument is the same as "well, why did they call it gravity, shouldn't they have called it attraction?" It is what it is, and you teach based on the term already in the literature.
- 0xd171 7y agoNot really. I get the dislike for the hyped up terms but there are many companies that work in ML/data science (and hire ML engineers or data scientists) that do know what they're doing. And there are distinctions, though sometimes subtle, between the terms.
- laichzeit0 7y agoIt's not really "magic". It's just that interpretation is not really that important sometimes. It's the approach of "Who cares what these coefficients mean, the model performs well on the test set". This is true for most of predictive modelling.