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Description

Session ID: 11086

Abstract: Oracle has placed a major emphasis on Machine Learning, AI, and predictive analytics. AI is built in to OAC and most other Oracle cloud products, but do you know how to leverage it? We’ll contrast building machine learning models in data flows in OAC with Oracle Autonomous Data Warehouse Cloud service. You’ll learn the capabilities and advantages of the different places you can put machine learning models into production. We’ll also cover the business use cases for major machine learning algorithms such as market segmentation, next best product recommendations, and production forecasting.

Objective 1: Discuss Oracle’s direction in machine learning and how to get started.

Objective 2: Compare OAC data flows with ADW Machine Learning with Zeppelin notebooks.

Objective 3: Review key algorithms and business use cases, clustering, regression, and classification.

Objective 4: Compare using “automated” machine learning with custom models.

Objective 5: Discuss how to choose a best first project and to get started.

Audience: Technical

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