Conf42: Machine Learning 2021

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

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...