Man vs the Machine: Intro to Machine Learning and AutoML

In this session, a popular dataset from Kaggle will be selected and run through the Azure AutoML Pipeline. While the cloud machines methodically crunch the numbers on the best auto-generated model, I will hand-build a simple model in an Azure Jupyter Notebook over the same dataset. In this session, participants will learn basic machine-learning engineering techniques such as data preparation, feature engineering, and model tuning.  We will wrap up with a discussion of the results and decide who built a better model - man or the machine!