Conf42: Machine Learning 2021


10 Things That Can Go Wrong with ML Projects (and what you can do about it)

Karl Weinmeister
Engineering Manager - Cloud/AI/ML @ Google

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Machine learning practitioners are solving important problems every day. They’re also experiencing a new set of challenges that are unique to ML projects.

This session will cover what to watch out for in terms of building a model; model accuracy; transparency and fairness; and MLOps.

The good news is that there are solutions. Attendees will hear about best practices and tools that will help address these issues.

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