Create, train, and deploy self-learning models. Use your own data to create, train, and deploy machine learning and deep learning models. Leverage an automated, collaborative workflow to grow intelligent business applications easily and with more confidence. IBM Watson Machine Learning (WML) Service enables you to create, train, and deploy self-learning models using an automated, collaborative workflow.

Neural Network Modeler and Deep Learning Experiments on Watson Studio

3 minute demo

Get an overview of the neural network modeler tool and see how quickly a model can be created using this tool.

Model Management and Deployment in Watson Studio

3 minute demo

Watson Studio allows data scientists and analysts to quickly build and prototype models, to monitor deployments, and to learn over time as more data become available. Performance Monitoring enables machine learning models to retrain on new data.

Build a Logistic Regression Model

4 minute demo

See how easy it is to build a logical regression model using the tooling available in Watson Studio.

Watson Studio Modeler Flows introduction

3 minute demo

Learn how Watson Studio Modeler Flows can speed up the creation of machine learning and deep learning models.

Watson Studio Modeler Flows: SPSS Runtime

4 minute demo

See how Watson Studio takes advantage of the rich capabilities of SPSS to quickly create machine learning models.

Watson Studio Modeler Flows: Spark Runtime

3 minute demo

See how Watson Studio Modeler Flows uses the Spark Runtime to quickly create a churn machine learning models.

Watson Studio Neural Network Modeler

4 minute demo

See the rich capabilities of Watson Studio Neural Network Modeler that enable the creation of image recognition models.

Tour Watson Machine Learning: Product Tour of IBM Watson Machine Learning with Watson Studio

Get experience with IBM Watson Studio by creating a decision-tree machine-learning model to evaluate the risk that a customer might leave your service.

  • Create a machine-learning model by using Watson Studio
  • Train two models and pick the best one
  • Save and deploy the model
  • Use the deployed model to score records from a notebook

15-30 minute introduction

More Watson Machine Learning Product Tours