Highly accurate training datasets built by machine learning that saves up to 70% of labeling costs AWS SageMaker Ground Truth is a resource for building high-quality training datasets for machine learning. You will be able to provide human and public labelers with built-in workflows and interfaces for common labeling tasks. Data is eventually labeled automatically, […]
Amazon’s AWS SageMaker makes it possible to build, train and deploy machine learning models quickly. It is fully managed and covers the entire ML (machine learning) workflow. A lot of large companies use SageMaker resource. With SageMaker you can; collect and prepare training data, choose and optimize your ML algorithms, setup and manage training environments, and tune your model for optimization. Models can be deployed and managed in production. Use reinforcement learning to build smart outcomes. SageMaker is open and flexible and AWS will provide detailed instructions on how to use the SageMaker resource.