In-database Machine Learning with Oracle Database and Oracle Autonomous Database

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Date and time

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Duration

45'

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 Database 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 Oracle Autonomous Database . 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. 

Lecture details

Talk Attendence: Virtual (online)
Type: Lecture
Level of difficulty: Detailed
Desirable listeners function: Developers
Group of activity: Business Intelligence & Analitycs

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HrOUG.hr

The conference is organized by the Croatian Association of Oracle users. More about the association can be found at Hroug.hr.

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