With machine learning (ML) at the heart of much of modern computing, the interesting question is: How do machines learn? There’s a lot of deep computer science in machine learning, producing models ...

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

The hype about machine learning (ML) is warranted. Machine learning is not just making things easier for the companies that are taking advantage of it. It’s also changing the way they do business. For ...

Many federal agencies are now on the path to understanding how machine learning can apply to their specific needs in predictive analysis for cyber threat detection, automating data breach detection ...

Irina Raicu is the director of the Internet Ethics program at the Markkula Center for Applied Ethics at Santa Clara University. Views are her own. In his hands-on, skill-building course, professor Das ...

At the center of any machine learning project lie the machine learning engineers. With backgrounds and skills in data science, applied research and heavy-duty coding, they run the operations of a ...

This week’s milestone in the history of technology is the patent that launched the ongoing quest to get machines to help us and them know more about our world, from tabulating machines to machine ...

Project Maven has already deployed in five or six locations across Africa and the Middle East. Here's what officials are learning from those deployments so far. After having deployed to as many as six ...

As a businessperson, the ability to make specific, actionable requests of your data scientists, hold them to a high standard and connect their work to relevant action is basic contemporary corporate ...