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Azure Machine Learning Service is a fully managed cloud service that is used to train, deploy, and manage machine learning models. it is an enterpriselevel service for building and deploying machine learning models. It allows us to create, test, manage, deploy, or monitor ML models in a scalable cloudbased environment.

→ What Is WorkSpace?
A Workspace represents the highest level of centralized resource of Azure Machine Learning service. It holds the list of all computes targets used for the training developed model.

Azure machine learning service workflow is a threestep process that includes:
❶ Prepare Data
❷ Experiment (Build, Train & Test the model)
❸ Deployment

To know more, check this video by Author & Cloud Expert, Atul Kumar from K21Academy

Where he explains:
00:00 What Is Workflow Of Azure Machine Learning Service
02:55 How Azure Machine Learning Service Works
23:04 FREE Class Azure Data Scientist Certification [DP100]
23:26 Registration link for FREE Class

Learn more indepth in this blog post: https://bit.ly/3nstTsQ

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