Watson Machine Learning

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.

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. To use Deep Learning experiments, you must install and configure the IBM® Software Hub scheduling service.
Deployment spaces give you the tools to view and manage model deployments.
Federated Learning to train models using remote, disconnected data sources. The federated sources can contribute to building an accurate model without compromising security.
Tools to view and manage model deployments.

Watson Machine Learning Accelerator

Watson Machine Learning Accelerator is no longer available. If you previously used Watson Machine Learning Accelerator, make sure that you refer to Preparing to upgrade before you upgrade Watson Machine Learning.

Licensing information

This service is included in the following licenses:

IBM Cloud Pak® for Data Enterprise Edition
IBM Cloud Pak for Data Standard Edition
IBM watsonx.ai™

For more information, see Licenses and entitlements.

Quick links

Install: Install the service
Upgrade: Upgrade 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
Develop: Write code and build applications

Integrated services

Table 1. Prerequisite services. This service requires the following prerequisite services to be installed.
Service	Capability
Watson Studio	Prepare, analyze, and model data in a collaborative environment with tools for data scientists, developers, and domain experts.

Table 2. Supplemental services. You can extend the functionality of this service with the following supplemental services, which require this service.
Service	Capability
Decision Optimization	Find the most appropriate prescriptive solutions to your business problems by using CPLEX optimization engines to evaluate millions of possibilities.
watsonx.ai	Train, validate, and deploy AI models.

Table 3. Related services. The following related services are often used with this service and provide complementary features, but they are not required.
Service	Capability
SPSS Modeler	Create flows to prepare data, develop and manage models, and visualize data. No coding required.
Analytics Engine powered by Apache Spark	Run analytical, machine learning, and Spark API jobs on Apache Spark clusters.
Watson OpenScale	Infuse your AI with trust and transparency. Understand how your AI models detect and mitigate bias.
AI Factsheets	Use AI Factsheets to organize and track lineage events, facts, and details for each of your machine learning models' lifecycle, and increase transparency for model governance needs.
Orchestration Pipelines	Use Orchestration Pipelines and create end-to-end flows of machine learning pipelines to create models and customize various functions.