Google Cloud Machine Learning hits public beta, with additions

Google unveiled today machine learning-related additions to its cloud platform, both to enrich its own cloud-based offerings and to offer expanded toolsets for businesses to develop their own machine learning-powered products. The most prominent offering was the public beta of Google Cloud Machine Learning, a platform for building and training machine learning models with the TensorFlow  learning framework and data stored in the BigQuery and Cloud Storage back ends. Google says its system simplifies the whole process of creating and deploying machine learning back ends for apps. Some of this is simply by making models faster to train. Google claims Cloud Machine Learning’s distributed training “can train models on terabytes of data within hours, instead of waiting for days.” Much of it, however, is about Cloud Machine Learning’s APIs reducing the amount…


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