Many Machine Learning tasks need to access a lot of data set, which in many case are stored in a database such as Oracle Database. Instead of moving this large data set across network to an separate machine learning system, 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 predicative analytics and machine learning. This allows Data scientists to run Machine Learning projects in Oracle Database without moving data and also allows Database developers to pick up Machine learning with database tables, SQL and PL/SQL. l This session will examine Oracle Machine Learning as part of ADW collaborative environment. We will discuss process to develop machine learning applications in the ADW Oracle Machine Learning environment: analyze and prepare data set; build and evaluate and apply machine learning model. We also will discuss other Oracle Machine Learning family products and what news are coming up in Oracle 20c
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