Academia and industry take different approaches to building machine learning and deep learning models Here are seven differences 1) Approach to accuracy: When you are in research or academia, you are focused on increasing accuracy (or some other metric) independent of the cost. An application with 95 percent accuracy may not behave much more differently than one with 96 percent accuracy.…
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