No machine learning development is required for an admin to turn on functions, and predictions, such as the next best action for a sales rep, are surfaced in the context of the apps they already use.

What is machine learning? This breakdown explains how machine learning works and its rise, applications, limitations, and challenges.

Understanding how artificial intelligence (AI) and machine learning (ML) can benefit your business may seem like a daunting task. But there is a myriad of applications for these technologies that ...

The July 2021 issue of IEEE/CAA Journal of Automatica Sinica features six articles that showcase the potential of machine learning in its various forms.

Fortunately, Microsoft's Azure Machine Learning empowers organizations to overcome these challenges when deploying and using ML. It delivers comprehensive, simple, robust and responsible services ...

By Laura Hamilton Machine Learning (CS 229) is the most popular course at Stanford. Why? Because, increasingly, machine learning is eating the world. Machine learning is a powerful artificial ...

In this Review, the authors consider the applications of supervised, semi-supervised and unsupervised machine learning methods to genetic and genomic studies.

Controlling machine learning in a finance environment requires stakeholders' commitment to creating a strong ethical foundation.

Researchers review the application of machine learning in improving cancer diagnosis, treatment, and prognosis.