AI Chihuahua! Part I: Why Machine Learning is Dogged by Failure and Delays
d2iq
FEBRUARY 19, 2021
Except in many enterprises. Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail , and for the few models that are ever deployed, it takes many months to do so. As little as 5% of the code of production machine learning systems is the model itself.
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