{"id":39960,"date":"2016-03-07T16:43:47","date_gmt":"2016-03-07T13:43:47","guid":{"rendered":"https:\/\/www.altoros.com\/blog\/?p=39960"},"modified":"2019-06-05T05:59:05","modified_gmt":"2019-06-05T02:59:05","slug":"machine-learning-expansion-azure-ml-studio-and-bigml","status":"publish","type":"post","link":"https:\/\/www.altoros.com\/blog\/machine-learning-expansion-azure-ml-studio-and-bigml\/","title":{"rendered":"Machine Learning Expansion: Azure ML Studio and BigML"},"content":{"rendered":"

\"machine-learning-azure-ml-studio-vs-bigml\"<\/p>\n

Today, machine learning (ML) differs tremendously from what it was a few decades ago. ML algorithms are now used for fraud detection, recommendation systems<\/a>, web search, spam filtering, speech and image recognition<\/a>, equipment failure prediction, and other problems.<\/p>\n

In this article, we explore two popular solutions that represent the variety of available options: Microsoft Azure ML Studio<\/b> and BigML<\/b>.<\/p>\n

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