Learning path: Get started with Watson Machine Learning Accelerator – IBM Developer

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Learning path: Get started with Watson Machine Learning Accelerator

Topic Type
An introduction to Watson Machine Learning Accelerator Article
How to use Watson Machine Learning Accelerator Article + notebook
Elastic Distributed Training in Watson Machine Learning Accelerator Article + notebook
Videos Videos

This learning path is designed for anyone interested in quickly getting up to speed with IBM Watson Machine Learning Accelerator. The learning path consists of articles that explain what Watson Machine Learning Accelerator is as well as its various features, and notebooks to help you work with it and get hands-on experience.

To get started, click on a card below, or see the previous table for a complete list of topics covered.

An introduction to Watson Machine Learning Accelerator


Learn about:

  • Overview of Watson Machine Learning Accelerator
  • Key capabilities

How to use Watson Machine Learning Accelerator


Learn about:

  • Configuring the link between IBM Watson Studio in IBM Cloud Pak for Data and IBM WML Accelerator
  • Methods for submitting deep learning workload from IBM Watson Studio to IBM WML Accelerator, including automating model hyperparameter search through the WML Accelerator Rest API

Elastic Distributed Training in Watson Machine Learning Accelerator


Learn about:

  • Overview of EDT
  • Use a Notebok to:
    • Make changes to your code
    • Make your data set available
    • Set up an API end point and log on
    • Submit a job through an API
    • Monitor a running job
    • Retrieve output and saved models
    • Debug any issues

Videos


Learn about:

  • From expert tech talks to live streams to replays of live tech talks or events, videos let you watch developers demonstrate or talk about Watson Machine Learning Accelerator