Microsoft rolls out open source toolkit for machine learning

Hot on the heels of Google releasing an open source machine learning framework, Microsoft has released a similar project called DMLT (Distributed Machine Learning Toolkit). It simplifies machine learning work across distributed systems by allowing models to be trained (a core component of machine learning) on multiple nodes at once. “Bigger models tend to generate better accuracies in various applications,” Microsoft writes in its introduction to the framework. “However, it remains a challenge for common machine learning researchers and practitioners to learn big models.” [ Also on InfoWorld: How machine learning ate Microsoft | Find out how to handle the real-world problems faced by developers, with InfoWorld’s professional programmer’s business survival guide. | Keep up with hot topics in programming with InfoWorld’s Application Development newsletter. ]DMLT’s core is a C++ SDK…


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