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Watson Machine Learning on Cloud Pak for Data

Versions 3.5.0, 3.5.1, 3.5.2, 3.5.3


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

Integrated services

Prerequisite services
Watson Studio Prepare, analyze, and model data in a collaborative environment wth tools for data scientists, developers, and domain experts.
Supplemental services
Decision Optimization Find the most appropriate prescriptive solutions to your business problems by using CPLEX optimization engines to evaluate millions of possibilities.
Related services
Watson OpenScale Infuse your AI with trust and transparency. Understand how your AI models make decisions to detect and mitigate bias.
Anaconda Repository for IBM Cloud Pak for Data Control and administer the repository of software packages that data scientists use in Jupyter notebooks.
Analytics Engine Powered by Apache Spark Automatically spin up lightweight, dedicated Apache Spark clusters to run analytical and machine learning jobs.
SPSS Modeler Create flows to prepare data, develop and manage models, and visualize data. No coding required.
Watson Machine Learning Accelerator Manage the lifecycle of training models, from data ingest and preparation to moving the model into production.