This talk will describe the typical and not-so-typical questions around data science tools, open source, privacy, security, communication, testing, deployment, and anything else that might come up while trying to blaze the machine learning trail.
Drawing on many years of experience in Data Science leadership, Katrina Riehl describes some common, and often humorous, questions around running Data Science teams and delivering successful Machine Learning projects. This talk will describe the typical and not-so-typical questions around data science tools, open source, privacy, security, communication, testing, deployment, and anything else that might come up while trying to blaze the machine learning trail.