Machine Learning features
Take advantage of machine learning models management (continuous learning system) and deployment (online, batch, streaming). Select any of widely supported machine learning frameworks: Tensorflow, Keras, Caffee, Pytorch, Spark MLlib, scikit learn, xgboost and SPSS.
Wide choice of interfaces
Use the command line interface and Python client to manage you artifacts. Extend your application with artificial intelligence through the Watson Machine Learning REST API.
Integration with Watson Studio
Create and train machine learning models with the best tools and the latest expertise in a social environment built by and for data scientists.
Click an image to enlarge and view screen captures, slides, or videos. Screen caps show the user interface for the service after it has been provisioned.