In the context of Oracle Machine Learning, who can access shared templates?

In the context of Oracle Machine Learning, shared templates are designed to facilitate collaboration and efficiency in data analysis and model building. When a template is shared, it allows anyone with read access to utilize that template for their own work. This accessibility encourages a more collaborative environment, enabling users to build upon one another's work without requiring additional permissions or intervention from administrators.

The concept of shared templates is to ensure that knowledge and resources are not siloed within the organization. This broad access helps promote best practices, standardization of processes, and ultimately enhances productivity across different teams. Thus, anyone who is granted read access can view and make use of these templates, aiding in consistency and collaboration in data science projects.