Presented at INSYNC 21
Session ID: 100970
Many Machine Learning tasks need to access a lot of data set, which in many cases are stored in a database such as Oracle Database. It makes a more scalable solution to do the machine learning task in the database, which is called in-database machine learning. Oracle Autonomous Data Warehouse (ADW) comes a library of Oracle machine learning algorithms and a set of building tools such as SQL notebooks for machine learning. This allows Data scientists to run Machine Learning projects in Oracle Database without moving data. This session will examine Oracle Machine Learning as part of Oracle database as well as ADW . We will discuss process of machine learning: analyze and prepare data set; build and evaluate and apply machine learning model. We also will discuss the Oracle machine learning features in Oracle 21c such as AutoML for In-Database Machine Learning and newly added in-database machine learning algorithms for anomaly detection, regression, and deep learning analysis.
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