AI Big Data
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AWS offers the broadest and deepest set of machine learning services on its cloud infrastructure, putting machine learning in the hands of every developer and data scientist.
Build, train, and deploy machine learning models fast
Amazon SageMaker helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning models quickly by bringing together a broad set of capabilities purpose-built for machine learning.
SageMaker Studio is the first fully integrated development environment for ML, to build, train, and deploy ML models at scale.
SageMaker Autopilot is the industry's first automated ML capability that gives you complete visibility into your ML models
By choosing from TensorFlow, PyTorch, Apache MXNet, or other popular architectures to experiment and customize machine learning algorithms first, you can use the managed service - Amazon SageMaker, or use AWS Deep Learning AMIs (Amazon Machine Images), both are configured with the latest and the most popular deep learning architectures and tools.
