Automating the Machine Learning Modeling Process

Using data to gain insights, make predictions, and identify patterns has become a priority for most enterprises. Machine learning is a key technology and often requires specific skill sets. Even for experts, the machine learning process can be highly iterative and involve significant trial and error. To help make machine learning more accessible to a broader set of users and enhance data scientist productivity, Oracle introduced automated machine learning, or AutoML, both from a Python API and a no-code user interface. In this session, we introduce the machine learning process and how AutoML plays a key role in the modeling process. We’ll include a demonstration of the no-code OML AutoML UI and the OML4Py AutoML.