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Amazon Sage Maker

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Build, train, and deploy ML models
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Amazon Sage Maker Features

Amazon SageMaker is a user-friendly service that allows you to easily create, train, and implement machine learning models for any purpose. With SageMaker, you have access to all the necessary tools and infrastructure to drive innovation with machine learning.

Key Features:
– Multiple options for data scientists and business analysts to choose from.
– Efficiently handle and process large amounts of structured and unstructured data for machine learning.
– Optimize infrastructure to reduce training time from hours to minutes.
– Purpose-built tools that can increase team productivity by up to 10 times.
– Automated and standardized MLOps practices and governance for transparency and auditability.

Use Cases:
– Business analysts can make machine learning predictions using the intuitive SageMaker Canvas interface.
– Data scientists can easily prepare data and build, train, and deploy models using SageMaker Studio.
– ML engineers can efficiently deploy and manage models at scale with SageMaker MLOps.

In addition, Amazon SageMaker supports the leading machine learning frameworks, toolkits, and programming languages. It is backed by Amazon’s extensive experience in developing real-world machine learning applications, such as product recommendations, personalization, intelligent shopping, robotics, and voice-assisted devices.

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