Edward Raff, Ph.D., Adjunct Instructor for UMBC’s Graduate Programs in Data Science recently published an intriguing research paper on Quantifying Independently Reproducible Machine Learning. In this research paper, Raff investigates the concern over whether Artificial Intelligence (AI) and Machine Learning (ML) face a reproducibility issue when it comes to the scientific method.
The Science of Data
UMBC Faculty in Focus with Edward Raff, Ph.D.
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February 24, 2020 at 1:43 PM
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