AWS SageMaker is a fully managed machine learning service that enables developers to quickly and easily build, train, and deploy models at scale. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high-quality models.
SageMaker provides the ability to build models from scratch using built-in algorithms, or to bring your own algorithms and models from other frameworks. Once you have a model, SageMaker makes it easy to train and deploy your model in a scalable and cost-effective manner. SageMaker also provides features like end-to-end tracking of experiments and one-click deployment that make it easy to monitor and iterate on your machine learning models.
