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by Kelvin Lui, Jim Van Oosten, Rodrigo Ceron, Jeff Karmiol, Dustin Vanstee | Updated July 15, 2019 - Published January 30, 2019
Artificial intelligenceData scienceDeep learningMachine learning
IBM Watson Machine Learning Accelerator is a software solution that bundles IBM PowerAI, IBM Spectrum Conductor, IBM Spectrum Conductor Deep Learning Impact, and support from IBM for the whole stack including the open source deep learning frameworks. It provides an end-to-end, deep learning platform for data scientists. This series gives you an introduction to PowerAI and walks you through tasks such as classifying images and training Keras and MLlib models within a Watson Machine Learning Accelerator custom notebook.
You could also accelerate machine learning using Snap ML and Watson Machine Learning Accelerator.
An end-to-end tour using a computer vision classification example with Watson Machine Learning Accelerator.
Customize a notebook package to include Anaconda, Watson PowerAI, and sparkmagic and use that to run a Keras model connect…
Use the Watson Machine Learning Accelerator Elastic Distributed Training feature to distribute model training across multiple GPUs and compute nodes.
Learn how to train XGBoost models using Watson Machine Learning Accelerator. Download the Anaconda installer and import it into Watson…
Drive online advertising click-through prediction with Watson Machine Learning Accelerator, SnapML, and AC922.
Expedite credit default risk prediction with Watson Machine Learning Accelerator and AC922.
Deploy model-serving microservices from the Model Asset Exchange on Red Hat OpenShift.
Artificial intelligenceData science+
See how a fictional health care company uses cloud technology to access data stored on z/OS systems.
August 5, 2019
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