Today we're joined by Mark Ryan, author of Deep Learning with Structured Data, currently in the Manning Early Access Program (MEAP), due for publication in Spring 2020. While working on the Support team at IBM Data and AI, he saw that there was a lack of general structured data sets that people could apply their models to. Using the streetcar network in his hometown of Toronto, Mark created a deep learning model to predict delays, but more importantly, gathered an open data set that was the perfect size and variety, and jump started the research for his latest book. In this episode, Mark shares the benefits of applying deep learning to structured data (and recent reduced barriers to entry), details of his experience with a range of data sets, the everlasting appreciation he and Sam shares for the Fast.ai course by Jeremy Howard, and the contents of his new book, aimed to help set up and maintain deep learning models with structured data. With just two weeks left, time is running out for you to register for TWIMLcon: AI Platforms. Don't be left out! Register NOW at twimlcon.com/register.