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Machine learning may help organizations make sense of the massive amount of data floating around on their servers.
That’s the thesis behind Nutonian, a Cambridge-based company that just announced a $4 million funding round led by Atlas Venture. Nutonian will use the newly raised capital to develop and commercialize Eureqa, its machine learning platform.
“The Eureqa platform can identify and explain the causal relationships in big data, enabling customers to solve real-world problems where predictions alone do not suffice,” said Chris Lynch, a partner at Atlas Venture, in a statement. “In doing so, Nutonian brings the power of a team of data scientists to non-technical staff.”
Over 40,000 people have used Eureqa so far, according to Nutonian. The platform uses symbolic regression to discover intrinsic relationships in data, which could benefit both corporate types and scientific researchers.
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