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Production ML with the Autonomous Data Warehouse
We use data from a popular Kaggle competition, the Wisconsin Breast Cancer data, to build a binary classification model for the liklihood of a tumor being benign or malignant.

We see how OAC's Data Visualization can be used to profile & explore the data, and can be used to do a rapid prototype of a Machine Learning model with DVML.

See how ADW can be used to easily drop a Machine Learning model into production and enabled as a REST API for custom Applications and websites.

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Oct 17, 2019 12:00 PM in Eastern Time (US and Canada)

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