Machine learning finally comes to Google Cloud

Google announced two services today, one new and one out of preview. They are part of the company's ongoing push to fashion itself as a provider of not only tools for building machine learning resources, but also APIs for accessing premade ones. Cloud Machine Learning (CML) can plug into Google's other storage, querying, and data-handling products to generate machine learning models. Among the data sources is Google Cloud Dataproc, the managed Hadoop and Spark platform that was previously announced but is now in general availability. You may have been wondering when machine learning as a service would arrive in Google Cloud, considering it has been available on Amazon for months and on Azure for a year. TensorFlow, Google claims, was used to build and deliver many existing Google products with machine intelligence aspects, such as its speech-recognition API, newly available to the public.