What access does Oracle Machine Learning provide to data in ADB?

Oracle Machine Learning in the context of ADB (Autonomous Database) offers a comprehensive suite of features that enable various stages of data interaction. The correct answer encompasses a three-part process: Data Ingestion and Selection, Data Viewing and Discovery, and Data Analysis.

Data Ingestion and Selection refer to the ability to import data from different sources into the database, as well as the capability to select the relevant datasets for analysis. This stage is crucial as it lays the foundation for any machine learning tasks by ensuring that the data used is both relevant and properly structured.

Data Viewing and Discovery allows users to explore datasets to understand their characteristics, structure, and the relationships between different variables. This step is essential for gaining insights into the data, which can inform decisions on how best to approach analysis and modeling.

Data Analysis is the phase where users can apply machine learning algorithms to the data, facilitating trends and patterns to be identified, predictions to be made, and insights to be derived. This stage is where the true potential of machine learning comes into play, utilizing the ingested data to generate actionable results.

Combining all three elements showcases the full capabilities Oracle Machine Learning offers within ADB, enabling users to effectively manage their data, gain insights, and conduct detailed analyses to