Category Whitepapers and Guides
The long-term goal of machine learning is to program computers to use example data or past experience to solve a given problem. Machine learning is indeed important and incredibly powerful, but not without its complexity. AWS decided the power of ML should be lower effort, greater reward for businesses, so teams can focus more on innovation.
Other AWS services offer a variety of helpful ML capabilities like chatbots and text-to-speech analysis, but SageMaker is a fully managed ML service. It focuses on an easier way to create, train, test and deploy machine learning workflows.
Watch this webinar to find out how to:
Find out in this webinar why SageMaker stands out from the crowd by making ML production and development not just more approachable, but less costly and time consuming.