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BigML is actively lowering the barriers of entry to make Machine Learning accessible. Since our founding in 2011, BigML has grown through grassroots adoption and reached important milestones along the way. Today, we help thousands of analysts, software developers, and scientists representing many industries and business functions around the world to solve a wide range of Machine Learning problems end-to-end. Find out from satisfied customers around the world in their own words.
Energy & Commodities
VSSML17 was a perfect opportunity to get high-level context beyond the standard predictive palette we use at Faraday. But it was also helpful to focus in on the implications of new tools and methods that BigML is bringing online, and to get facetime with the team that's driving it all.
Even in a company which uses custom built Machine Learning solutions on a daily basis, BigML proves to be very useful for quick proof of concept experiments. And the insightful visualizations help a lot when collaborating with newcomers to the ML field.
In no time, we were able to implement a Machine Learning solution with BigML. We know we can count on an extremely experienced and efficient customer support team. If your company is looking for a robust yet low-cost, easy-to-implement and easy-to-scale ML solution, go with BigML.
We use BigML for our introductory data mining class of 200-300 students annually since 2014. BigML stands out from the competition with its superb model visualizations, lean user interface, worry-free maintenance, and reliability.