Learn the basics of artificial intelligence Al learning algorithms to achieve an excellent overview of exactly how machine learning functions ...

Azure Machine Learning has both AutoML, which sweeps through features and algorithms, and hyperparameter tuning, which you typically run on the best algorithm chosen by AutoML.

AEquity aims to improve training for healthcare machine-learning algorithms by assessing the accuracy and fairness of the data they're fed.

Machine Learning systems, also called models, are trained by humans to use an algorithm to classify and analyze data, make predictions, and take actions of limited complexity.

Machine learning may find things that humans would miss; furthermore, the more data that is fed to the algorithms, the better they get at identifying trends and patterns.

Deep learning vs. machine learning: what's the difference between the two? We provide a simplified explanation of both AI-based technologies.

In order for machine learning to work, there must be data to train the algorithms—massive amounts of data. The ongoing global surge of AI in science and industry is due in part to the ...

Sayan Chakraborty says machine learning’s impact will be much like electricity—world-changing—and ultimately taken for granted. Learn how he and his team are weaving ML into the fabric of ...