Leveraging Cloud-Based Machine Learning on AWS Real-World Applications

Leveraging Cloud-Based Machine Learning on AWS Real-World Applications

Leveraging Cloud-Based Machine Learning on AWS Real-World Applications

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Description

Leveraging Cloud-Based Machine Learning on AWS Real-World Applications1 The use of cloud-based machine learning on real-world applications.

Machine learning and artificial intelligence are within the grasp of enterprises large and small because of the cost and efficiency of the cloud. Help your organization use Amazon Web Services. This course will show you how to use Amazon Web Services for applications in a variety of industries, including healthcare, finance, law enforcement, manufacturing, and education. David Linthicum presents a variety of use cases that demonstrate current best practices, tools, and techniques. He shows how to integrate machine learning models into real-world apps. David dispelled some concerns about cost and security by showing real solutions from Amazon Web Services.

Topics include:

The basics of artificial intelligence. There are use cases for artificial intelligence. It’s possible to build, train, and deploy apps with SageMaker. Training and creating test data for your model. There is an application walk-through. The costs of artificial intelligence. There is an artificial security. There is an artificial governance.

Leveraging cloud-based machine learning on real-world applications

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