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Google is shutting down the Cloud Prediction API on April 30, 2018. After this date, the API will no longer be accessible. The company is recommending developers migrate applications to the Google Cloud Machine Learning Engine, a managed service that can be used to build machine learning models.
Last week, HP officially launched commercial plans for Haven OnDemand, a machine learning platform that offers developers a suite of APIs they can use to "turn virtually any data into an asset anytime and anywhere." The platform entered beta in 2014 and offers more than offers more than 60 APIs.
Machine learning is everywhere these days including your smartphone, your email, your Amazon.com account and even your connected car. This article highlights the top 10 machine learning APIs on ProgrammableWeb. API capabilities include image tagging, speech recognition and predictive modeling.
Deep Learning has applications in many fields. In this example, it is put to use across three APIs to predict what music genre an album is based on the cover artwork.
Google’s Prediction API uses machine learning to analyze data and offer predictions on future behavior. Here it has been applied to gain insight from an Adwords PPC campaign.
As machine learning and predictive analytics become more prevalent in businesses, predictive APIs are starting to open up. Are predictive APIs right for your organization? Louis Dorard provides a framework to help you decide and begin to consider the question of which APIs to use.
In our concluding part of our series on Google Cloud APIs we cover Google Cloud SQL. We have covered Google Prediction API, Storage API, and BigQuery API earlier.
In our previous post we provided an overview of Google's cloud infrastructure and talked of the Google Prediction API. To use the Google Prediction API we do have to use the storage from within Google Storage API. Google Cloud Storage is a RESTful service for storing and accessing your data on Google's infrastructure which has been open since May 2011 for public access.
Google has been a leader in providing innovative APIs as well as providing infrastructure and software paradigms (including map-reduce) that have helped make the internet better. The enormous investment that Google has put in these infrastructure efforts is yet to pay off directly, but it has brought many developers a choice and flexibility between the usual options. Of course if computing shifts to the cloud, Google will reap a big dividend from both retail as well as enterprise software customers.
After pulling the plug on its Google Translate API, the company will now charge for the service. It hopes the fee will curb what it characterized as "extensive abuse." Users did not respond favorably to the original announcement and we were pleased to report that the API would be available as a paid API. We now have the details on the pricing.
It seems that the gadgets and equipment that we use today are getting smarter by the day. They are not only taking doing routine tasks but even helping out make decisions based on trends and recommended practices. The Google Prediction API allows you to tap into Google's machine learning algorithms that crunch data and give your possible outcomes, thereby helping you make your applications smarter. And car-maker Ford may even be using it.
You ever wonder how Google is able to figure out just what the heck you're talking about when you search for "blue album cover" and you're not talking about the first Weezer album? Google is able to use your previous search, as well as a plethora of other sources, to predict what it is you are most likely trying to find. Pretty cool stuff, once you get past how uncomfortable that may be.