Under cloud machine learning platforms, algorithms are trained to find patterns and features in mass amounts of data. Using this data, the algorithms make crucial decisions and predictions. The better the algorithm, the more accurate its decisions and predictions will become.
Today, examples of cloud machine learning are all around us. Digital assistants search the web and play music in response to our voice commands. Websites recommend products and movies and songs based on what we bought, watched, or listened to before. Robots vacuum our floors while we do something better with our time. The future of machine learning for cloud platforms is just beginning.
As the largest cloud computing platform in the world, Amazon Web Services offers over 175 services from its global data centers to millions of customers.
Google Cloud Platform is designed to transform your company’s cloud storage capabilities, creating a faster, more secure experience for users.
SoftLayer®, which recently integrated with IBM Cloud™ offers everything you could possibly need from a large-scale cloud computing system.
Microsoft Azure offers 200+ products and cloud services designed to help businesses grow and innovate like never before.
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