Machine Learning Libraries You'd Wish You'd Known About

Diagnosing, explaining and scaling machine learning is hard. Ian Ozsvald will talk about a set of libraries that have helped him to understand when and how a model is failing, helped him communicate why it is working to non-technical users, automated the search for better models and helped him to scale his modeling.

Ian will discuss YellowBrick, LIME, ELI5, TPOT and Dask. These libraries will make it more likely that you deliver trustworthy and reliable systems that will actually make it past R&D and into Production. The talk will be rooted in his experience delivering client projects and participating in Kaggle competitions.