Daffodil International University

Faculty of Science and Information Technology => Recent Technologies and Trends in Software Engineering => Software Engineering => Machine Learning/ Deep Learning => Topic started by: iftekhar.swe on September 05, 2018, 01:32:03 PM

Title: Now use Object Tags in the Amazon Machine Learning Console
Post by: iftekhar.swe on September 05, 2018, 01:32:03 PM

You now have the ability to add, modify, remove, and list tags on an object through the Amazon Machine Learning (Amazon ML) console. Additionally, when objects are created through the Console wizard, existing tags of the antecedent objects (S3 bucket, Redshift cluster, Data source, ML model) will also be carried over into the new object.

Tags are often used to organize resources, such as allocating costs to projects and related budgets while still using AWS offerings from a single account. Using a standardized process for cost allocation through tags can save many administrative hours of your time per month. In addition to cost allocation, tagging can be used for organization and lifecycle management. By example, tags can be used to identify data provenance and model classification, compliance requirements and retention, and change control.

Title: Re: Now use Object Tags in the Amazon Machine Learning Console
Post by: farzanaSadia on October 28, 2018, 07:52:22 PM

Informative post. It would be great if you can provide some examples.