Machine learning helps understand customers, drive personalization, streamline processes and more. Here are 20 examples of machine learning in action.

But it was SQL Server’s new machine learning tools that grabbed my attention. Machine learning remains one of Microsoft’s big themes for 2017, and it’s an important segment of SQL Server 2017.

Over a month after SQL Server 2019 became generally available, Microsoft has now shined light on some more aspects of the improved machine learning capabilities offered with this release.

Machine learning, a field of artificial intelligence (AI), is the idea that a computer program can adapt to new data independently of human action.

Microsoft Ignite 2017: MS Stresses Choice, From SQL Server 2017 to Azure Machine Learning ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

The implications of this are wide and varied, and data scientists are coming up with new use cases for machine learning every day, but these are some of the top, most interesting use cases ...