May 2026
Beginner to intermediate
354 pages
9h 12m
English
Content preview from A Practical Guide to Oracle AI Engineering
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3
Data Preparation and In-Database Model Training
Oracle AI Database supports efficient machine learning by enabling data preparation and model training directly within its environment. This chapter introduces Oracle Machine Learning (OML) and provides a high-level overview of in-database machine learning capabilities, focusing on key concepts, components, and architecture.
This chapter begins with an overview of OML and the machine learning lifecycle, then explores data preparation within Oracle Database. You will learn how native algorithms, such as OML AutoML, AI Vector Search, and Select AI, enable advanced use cases without moving data outside the database.
The topics covered in this chapter include the following:
- Introduction to Oracle ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.