Amazon SageMaker

Amazon SageMaker
Developer(s)	Amazon, Amazon Web Services
Initial release	29 November 2017; 6 years ago
Type	Software as a service
Website	aws.amazon.com/sagemaker

Amazon SageMaker is a cloud-based machine-learning platform that allows the creation, training, and deployment by developers of machine-learning (ML) models on the cloud.^[1] It can be used to deploy ML models on embedded systems and edge-devices.^[2]^[3] The platform was launched in November 2017.^[4]

^ Cite error: The named reference :6 was invoked but never defined (see the help page).
^ Rodriguez, Jesus (2018-11-30). "With These New Additions, AWS SageMaker is Starting to Look More Real for Data Scientists". Towards Data Science. Retrieved 2019-06-09.^{[permanent dead link]}
^ Terdiman, Daniel (2018-10-05). "How AI is helping Amazon become a trillion-dollar company". Fast Company. Retrieved 2019-06-09.
^ Cite error: The named reference :5 was invoked but never defined (see the help page).

[:6-1] Cite error: The named reference :6 was invoked but never defined (see the help page).

[:0-2] Rodriguez, Jesus (2018-11-30). "With These New Additions, AWS SageMaker is Starting to Look More Real for Data Scientists". Towards Data Science. Retrieved 2019-06-09.^{[permanent dead link]}

[:8-3] Terdiman, Daniel (2018-10-05). "How AI is helping Amazon become a trillion-dollar company". Fast Company. Retrieved 2019-06-09.

[:5-4] Cite error: The named reference :5 was invoked but never defined (see the help page).

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