The academia tends to teach state-of-the-art engineering that can often get far from industry's reality. Despite of being a field center around theoretical mathematics, Machine Leaning is no exception. In this talk, we aim to give a better understanding of industrial ML, and the important challenges that arise as soon as we exit a research environment with ideal data and infrastructures for the models.
ML Engineer, EPFL Alumni
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