Machine Learning Product Management: Bias and Risk
You've identified your market, prioritized the important product features, gathered your training data and developed an algorithm that meets your performance expectations. It's Machine Learning, what could go wrong?
We'll discuss example problems with Machine Learning that you see in the news. We'll trace different kinds of problems back to the pieces of machine learning that can be the source of similar problems. Finally, we'll identify steps your company can take to mitigate the risks related to production machine learning systems.
Presented by Scott Mueller