Watson Machine Learning on Cloud Pak for Data
Version: 4.0.9 Included IBM
Description
Watson Machine Learning provides a full range of tools and services so that you can build, train, and deploy Machine Learning models. Choose the tool with the level of automation or autonomy that matches your needs, from a fully automated process to writing your own code.
These tools are available with the Watson Machine Learning service:
- AutoAI experiment builder for automatically processing structured data to generate model-candidate pipelines. The best-performing pipelines can be saved as a machine learning model and deployed for scoring.
- Notebooks provide an interactive programming environment for working with data, testing models, and rapid prototyping
- Deep Learning experiments automates running hundreds of training runs while tracking and storing results.
- Analytic deployment spaces give you the tools to view and manage model deployments.
Quick links
- Install: Install the service
- Use: Work with the service
- What's new: See a list of new features
- Known issues: View limitations
- Administer: Manage and maintain the service
Integrated services
| Service | Capability |
|---|---|
| Watson™ Studio | Prepare, analyze, and model data in a collaborative environment with tools for data scientists, developers, and domain experts. |
| Service | Capability |
|---|---|
| Decision Optimization | Find the most appropriate prescriptive solutions to your business problems by using CPLEX optimization engines to evaluate millions of possibilities. |
| Service | Capability |
|---|---|
| SPSS® Modeler | Create flows to prepare data, develop and manage models, and visualize data. No coding required. |
| IBM Analytics EngineAnalytics Engine Powered by Apache Spark | Automatically spin up lightweight, dedicated Apache Spark clusters to run analytical and machine learning jobs. |
| Watson OpenScale | Infuse your AI with trust and transparency. Understand how your AI models make decisions to detect and mitigate bias. |
| Watson Machine Learning Accelerator | Manage the lifecycle of training models, from data ingest and preparation to moving the model into production. |


