This article will help you to move with Azure Machine Learning as a basic start. I will be walking through the concepts of Azure Machine Learning terms throughout this writing.
What is Machine Learning?
Machine Learning is an emerging trend on Data Science Platforms. It helps computers to predict future events and outcomes, and helps applications to generate output according to their programming.
Advantages of Machine Learning
Implementation
Machine Learning has been implemented in all areas, from speaking about predicting a cricket score to other real-time applications such as Google Maps , which the time for reaching a destinationand routes the vehicle; or helping banks determine whether or not to provide a loan to a client.
Machine Learning with Microsoft Azure
Azure has started extending its support on Data Science Platforms with Machine Learning which helps us to build predictive analytics services.. Azure also supports us with pre-made algorithms which are already available with Microsoft Azure on Machine Learning Studio. Machine Learning Studio also helps us to drag and drop the components on the Machine Learning Studio Module. Once we build the model we can upload it to the Cortana Intelligence Gallery and share tit with other developers. The sample experiments that Microsoft Azure Machine Learning supports are of R and Python scripts.
Stick on towards the basic terms of Azure ML
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