When Machine Learning Fails

Abstract

Machine learning can be used to examine a variety of challenges. However, this brings in a number of risks that can sometimes be overlooked leading towards a disastrous effect. We’ll discuss those risks and what you, as data scientists, can do to help mitigate them.

Christopher Teixeira

Department Chief Engineer

My interests include using my skills for the public good and playing with baseball data.