GraphLab thinks its new software can democratize machine learning


GraphLab, a Seattle-based startup that launched in 2013 to develop an open source project of the same name, is releasing next week its first commercial software, called GraphLab Create. Unlike the open source software that is focused on graph analysis, Create is designed for data stored in graphs or tables, and can be used to easily run any number of popular machine learning tasks.

Carlos Guestrin, the company’s co-founder and CEO, said the goal of Create is to help savvy engineers or data scientists take their machine learning projects from idea to production. It includes a handful of modules for building certain types of popular workloads, including recommendation engines, graph analysis and clustering and regression algorithms.

We have previously covered some of the disillusionment with current machine learning libraries — many of which are open source — with regard to speed and ease of use. Even where those factors are improving

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