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.
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| posted | February 24, 2020 |
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| sponsor | UMBC Professional Programs |
| tags | data-sciencefaculty |
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