Machine learning and AI in Watson Studio

IBM Watson Studio is a collaborative environment with AI tools that you and your team can use to collect and prepare training data, and to design, train, and deploy machine learning models.

Deploying and managing models with Watson Machine Learning

Watson Machine Learning supports popular frameworks, including: TensorFlow, Caffe, PyTorch, and Keras to build and deploy models.

You can build and train a model, using one of the tools listed in Analyzing data and building models, or you can import a model you built and trained outside of Watson Studio.

Using the tools available for deploying and managing models, you can:

• Deploy machine learning assets
• Deploy Decision Optimization solutions
• Evaluate models for bias