13 frameworks for mastering machine learning

These open source tools do the heavy lifting for you By Serdar Yegulalp, Senior Writer, InfoWorld Aug 16, 2017 W.Rebel via Wikimedia 13 frameworks for mastering machine learning Over the past year, machine learning has gone mainstream with a bang. The "sudden" arrival of machine learning isn't fueled by cheap cloud environments and ever more powerful GPU hardware alone. It is also due to an explosion of open source frameworks designed to abstract away the hardest parts of machine learning and make its techniques available to a broad class of developers. Here is a baker's dozen of machine learning frameworks, either freshly minted or newly revised within the past year. These tools caught our attention for their provenance, for bringing a novel simplicity to their problem domain, for addressing a specific challenge associated with machine learning, or for all of the above.