Distributed AI/ML: Architecture for Advanced Analytics
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Distributed ML design strategy utilizes the best of both the worlds, Distributed Computing, and Machine Learning algorithms. It brings along the advanced analytical and mathematical reasoning capabilities of Machine Learning and combine it with efficient distributed processing in the form of a group of machines either in a Big Data cluster or over a GPU farm or steaming edge devices or over IoT devices. It is more of design thought process that enterprises should focus on while planning to leverage Distributed ML architecture for their business problems.
Watch this webinar to learn more about Distributed Machine Learning.