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Learning path: Get started with Watson Machine Learning Accelerator

Learn about its features and how it provides an end-to-end, deep learning platform for data scientists

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By Kelvin Lui, Amanda Quartly
Updated October 21, 2020 | Published March 17, 2020

Level Topic Type
100 An introduction to Watson Machine Learning Accelerator Article
101 Classify images with Watson Machine Learning Accelerator Article + notebook
201 Elastic Distributed Training in Watson Machine Learning Accelerator Article + notebook
202 Drive higher GPU utilization and throughput Tutorial
203 Expedite retail price prediction with Watson Machine Learning Accelerator hyperparameter optimization Tutorial
301 Accelerate your deep learning and machine learning Article + notebook

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

Article

An introduction to Watson Machine Learning Accelerator

March 15, 2020

Learn about:

  • Overview of Watson Machine Learning Accelerator
  • Key capabilities

Classify images with Watson Machine Learning Accelerator

Article

Classify images with Watson Machine Learning Accelerator

April 14, 2020

Learn about:

  • Data science experience in Watson Machine Learning Accelerator
  • Deep learning lifecycle management with robust tooling starting with data ingestion, hyper-parameter tuning, model training and inference

Elastic Distributed Training in Watson Machine Learning Accelerator

Article

Elastic Distributed Training in Watson Machine Learning Accelerator

March 15, 2020

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

Drive higher GPU utilization and throughput

Tutorial

Drive higher GPU utilization and throughput

September 22, 2020

Learn about:

  • Using the Watson Machine Learning Accelerator advanced scheduler to accelerate multiple deep learning training jobs by batching and running four jobs on a single GPU

Expedite retail price prediction with Watson Machine Learning Accelerator hyperparameter optimization

Tutorial

Expedite retail price prediction with Watson Machine Learning Accelerator hyperparameter optimization

October 21, 2020

Learn about:

  • IBM Watson Machine Learning Accelerator’s ease of use and high resource efficiency for distributed machine learning jobs as well as the power of the HPT process

Accelerate your deep learning and machine learning

Article

Accelerate your deep learning and machine learning

August 12, 2020

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
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Tutorial

Classify images with Watson Machine Learning Accelerator

October 16, 2018
Tutorial

Get dynamic, elastic, and fine-grained resource allocations and controls for accelerating multiple model trainings simultaneously

May 1, 2019
Tutorial

Deep learning training: Accelerate your learning with Watson Studio and Watson Machine Learning Accelerator

October 30, 2019