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As part of IBM’s annual InterConnect conference in Las Vegas, the company is announcing a new machine learning course in partnership with workspace and education provider Galvanize to ...
IBM Machine Learning leverages parts of Watson to help train and deploy analytics models in the private cloud, to first be used with the IBM z System Mainframe.
Here’s how the four big cloud providers — IBM, Microsoft, Google, and Amazon — stack up next to each other in machine learning.
Not surprising, a number of machine learning cloud providers offer these capabilities through an API, allowing developers to incorporate them in their applications.
There's a reason why every major cloud provider is backing its own machine learning framework. What's that and how do you get to choose?
IBM is pitching the platform at the growing number of users looking to build machine learning models but constrained by the inability to process the large amounts of data that such models require.
Choosing between Azure ML vs IBM Watson What is Azure Machine Learning? Azure Machine Learning is a cloud-based service that allows data scientists or developers to train, build and deploy ML models.
"Machine Learning and deep learning represent new frontiers in analytics. These technologies will be foundational to automating insight at the scale of the world’s critical systems and cloud services, ...
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