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The accuracy of AI necessary to solve problems
Tuesday, October 22, 2019 by Richard Harris
We recently had a conversation with Aaron Edell, Director of Applied AI at Veritone who says data scientists are going about building AI/ML solutions wrong when they try to achieve 100% accuracy. They can spend hours building, testing, and rebuilding until the solution is 100 percent accurate until deploying. When data scientists spend this extra time perfecti...