A.Classification

B.Regression

C.Dimensionality Reduction

D.Clustering

A.Change the deployment date of a previously deployed OML in-database model.

B.Change the owner of a previously deployed OML in-database model.

C.Undeploy a previously deployed OML in-database model.

D.Delete an existing OML in-database model.

E.Deploy an existing Oracle Machine Learning in-database model as a REST endpoint in OML Services.

F.Change the namespace of a previously deployed OML in-database model.

A.When creating a notebook from an experiment-produced Model, the top algorithm in the Leader Board is automatically selected and converted to OML4Py code.

B.Automates key modeling steps such as algorithm selection, feature selection, and hy-perparameter tuning.

C.An Experiment can be run with two possible options: Faster Results or Better Accura-cy.

D.An Experiment returns a single machine learning model, on successful execution Pro-vides Classification Prediction Type for numeric data and Regression Prediction Type for non-numeric data.

A.XML

B.custom binary format

C.JSON

D.CSV

A.There is no previously known result to guide the algorithm in building the model.

B.It does not specify a target, it can be applied to a population of interest.

C.It is used to extract meaningful insights from raw data to improve data operational efficiency.

D.It generally results in predictive models.

E.The learning process is directed by a previously known dependent attribute or target.