1z0-1096-23 Exam Dumps : Oracle Machine Learning using Autonomous Database 2023 Associate

Explanation

Unsupervised machine learning uses a more independent approach, in which a computer learns to identify complex processes and patterns without a human providing close, constant guidance. Un-supervised machine learning involves training based on data that does not have labels or a specific, defined output. To continue the childhood teaching analogy, unsupervised machine learning is akin to a child learning to identify fruit by observing colors and patterns, rather than memorizing the names with a teacher's help. The child would look for similarities between images and separate them into groups, assigning each group its own new label. Examples of unsupervised machine learning algorithms include k-means clustering, principal and independent component analysis, and association rules.

Explanation

Explanation

About Workspace Permission Types: Oracle Machine Learning allows three types of permissions. Depending on the permission type, you can allow the user to view or perform different tasks in your workspace, projects, and notebooks. The three types of permissions are listed in the following table along with the actions that are allowed. Permission Types || Actions based on permission > Manager: • Project: Create, update, delete. • Workspace: View only. • Notebooks: Create, update, run, delete, and schedule jobs. > Developer: • Project: View only. • Workspace: View only. • Notebooks: Cre-ate, update, run, and delete notebooks that a developer creates only. • Jobs: View and run jobs of shared notebooks only. A developer cannot create jobs for notebooks that are shared. > Viewer: • Project: View only. • Workspace: View only. • Notebooks: View only. • Jobs: View jobs and job runs of shared notebooks only.