Google Aims to Take Machine Learning Mainstream With New Cloud-Based Tools

At the GCP Next 2016 conference in San Francisco this week, Google announced the launch of Cloud Machine Learning, a suite of cloud-based tools, with which the company hopes to make sophisticated machine learning tools available to developers across the globe.
"Cloud Machine Learning will take machine learning mainstream, giving data scientists and developers a way to build a new class of intelligent applications. It provides access to the same technologies that power Google Now, Google Photos and voice recognition in Google Search as easy to use REST APIs," Fausto Ibarra, Director, Product Management, Google said in a blog post announcing the launch of the new feature.
Unlike traditional learning techniques that involve programming a machine with certain set of instructions for each scenario, machine learning (typically) involves feeding a computer with a large set of data - called training the machine - and then letting it figure a reaction for different situations, or come up with answers for new scenarios. The likes of Amazon and Microsoft, Google's main competitors in the public cloud space, offer cloud-based machine learning tools as well.

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