The Azure equivalent of AWS SageMaker is Azure Machine Learning. It is a cloud-based service that provides a complete end-to-end machine learning solution. It includes tools for data preparation, model training, model evaluation, and model deployment. Azure Machine Learning also provides a variety of pre-trained models that can be used to quickly build and deploy machine learning applications.

Here are some of the key features of Azure Machine Learning:

Data preparation: Azure Machine Learning provides a variety of tools for data preparation, including data cleaning, data transformation, and data labeling.
Model training: Azure Machine Learning provides a variety of algorithms for model training, including supervised learning, unsupervised learning, and reinforcement learning.
Model evaluation: Azure Machine Learning provides a variety of tools for model evaluation, including accuracy, precision, recall, and F1 score.
Model deployment: Azure Machine Learning provides a variety of tools for model deployment, including web services, mobile apps, and IoT devices.
Pre-trained models: Azure Machine Learning provides a variety of pre-trained models that can be used to quickly build and deploy machine learning applications.
Azure Machine Learning is a powerful tool that can be used to build and deploy machine learning applications quickly and easily. It is a good choice for businesses of all sizes that want to take advantage of the power of machine learning.

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Can you give me a price comparison please
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Sure, here is a price comparison between Azure Machine Learning and AWS SageMaker:

Feature	Azure Machine Learning	AWS SageMaker
Pricing tier	Basic, Standard, Premium, and Enterprise	Free tier, Basic, Standard, and Enterprise
Pricing model	Pay-as-you-go	Pay-as-you-go
Compute	Virtual machines, Azure Databricks, and Azure HDInsight	Virtual machines, Amazon Elastic Compute Cloud (EC2), and Amazon SageMaker Notebook Instances
Storage	Azure Blob Storage, Azure Data Lake Storage, and Azure SQL Database	Amazon Simple Storage Service (S3), Amazon Elastic Block Store (EBS), and Amazon Redshift
Networking	Azure Virtual Networks, Azure ExpressRoute, and Azure Traffic Manager	Amazon Virtual Private Cloud (VPC), AWS Direct Connect, and Amazon Route 53
Pricing	Azure Machine Learning pricing is based on the amount of compute, storage, and networking resources that you use. AWS SageMaker pricing is also based on the amount of compute, storage, and networking resources that you use.
Ultimately, the best pricing option for you will depend on your specific needs and requirements. If you are unsure which pricing option is right for you, you can contact Azure or AWS for more information.
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