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Doing anything complicated in machine learning usually means building a pipeline. The idea is to break up your problem into very small pieces and then use machine learning to solve each smaller piece separately. Then by chaining together several machine learning models that feed into each other, you can do very complicated things.
Adam Geitgey
writingprincess
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Nice explanation!
Executive design leader in ML/AI, Karaoke specialist, cold-water swim enthusiast, 3x Ironman — yep that’s me! Living life like it's golden.
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