Well-intended, partially correct bullshit is the worst kind. It spreads the fastest, takes up the most space, is the most difficult to debunk, and has the most intractable authors. Stay vigilant, folks. https://twitter.com/PyImageSearch/status/1238823600465084416 …
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Replying to @NoahHaber
Eventually in the thread he offers up the full performance of the model sense, spec etc all 80% to 100- is what he’s claiming in any way possible ?
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Replying to @lobrowR @NoahHaber
I would hope you and Noah come back to read the article tomorrow and lambast me then. It's an educational piece -- non-scientific, non-rigorous, disclaimer-ed as such, and intended for my followers who learn CV/DL applications. The tweet Noah is RT'ing is taken out of context.
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I read the 4-tweet thread. The implication is very clearly that you've developed a 92% accurate test using ML and people should sign up/buy your book if they want to know more
If that was not your intent, perhaps consider deleting and rephrasing 
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