11/07/2023
Amazon SageMaker is a fully managed machine learning platform from AWS. Data scientists, developers, and technologists can use it to build, train, and deploy learning models at scale. It also provides a cloud-based environment for design, training, and deployment, eliminating many maintenance needs and allowing users to focus on design and using standards.
To use SageMaker, users first upload their data to AWS S3 (Amazon Simple Storage Service) or SageMaker instance.
Then, using Jupyter Notebook or IDE, users can build and train their models based on given algorithms or code. Once the model is trained, it can be sent to production where it can be accessed and used to make predictions via API or batch processing.
Overall, SageMaker provides a comprehensive and scalable machine learning platform that helps organizations reduce the time and effort required to develop, train, and deploy machine learning models.
Visit our website at https://www.puretechnology.in/blog/amazon-sagemaker-comprehensive-guide/ to know more.