The main features of this service are:

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2nd- Dataset: Datasets are the information that we have previously loaded into Azure Machine Learning.

To generate a model, we only have to drag the data sets and the different modules that we are going to use. From there we can edit it and run it to check the result obtained.

Key features and benefits of Azure Machine Learning

Access to built-in tools and the broadest support for open source libraries and frameworks.
Manage and deploy models with a single click and control them efficiently with MLOps.
Protect data and models, and create equitable solutions by improving model quality.
Run machine learning workloads anywhere romania whatsapp resource with built-in governance, security, and compliance
And, in addition to these features, it provides many other benefits:

Improve business productivity with Studio, the development experience that enables you to perform all machine learning tasks to create, train, and deploy models.
Simplify deployment and management of thousands of models across on-premises, edge, and multi-cloud environments with MLOps.
Increase model transparency and improve reliability with responsible AI functionality.
Share explanatory model graphics with your team to ensure regulatory compliance.
Uses state-of-the-art algorithms to test models for fairness issues.
Compare models and take action to reduce issues. Identify and resolve errors in models with the error analysis toolkit to improve accuracy.
Extend security across the entire machine learning lifecycle with comprehensive functionality spanning identity, authentication, data, networking, monitoring, governance, and compliance.