This is the 8th session:
An emerging trend in AI is the availability of automation technologies that train several models and select the one with best-fit. This automated AI process includes several variations of feature engineering and hyperparameter optimization that aim to improve the model.
In this lab, you will use the Watson Studio AutoAI tool to build a rapid prototype and generate a Python notebook for your prototype. You will then examine each of the steps in the Python notebook to see how the AutoAI performed.
All sessions of the series:
Data Science Evangelist at IBM. Will writes for the IBM Data Science community, and creates technical content for other data science practitioners. He is also a host on the IBM Developer Data Scientist Podcast series, and co-editor for the IBM Community newsletter. Before joining "Big Blue" to build a community around the latest in Artificial Intelligence, he was a consultant with Red Hat specializing in middleware deployments for financial clientele