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by Multiple authors | Published April 8, 2019
Artificial intelligenceData scienceDeep learningMachine learning
This series gives you an overview and information on how to use Snap ML, an efficient, scalable machine-learning library that enables fast training of generalized linear models.
Drive online advertising click-through prediction with Watson Machine Learning Accelerator, SnapML, and AC922.
Take a look at the testing of generalized linear models (GLMs) from the Snap ML library on three different use…
Use the Snap Machine Learning library to accelerate the training of logistic regression and random forest models and employ the…
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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