Implementing machine learning in HR requires strategic alignment between your organizational needs and algorithmic ...

This course is an advanced graduate-level/seminar course on some topics in theoretical machine learning. The course is ideal for graduate students and senior undergraduates who are theoretically ...

It has comprehensive and up-to-date coverage on the practical aspects of machine learning. The chapters on cloud computing and responsible AI cover two topics particularly relevant to today's machine ...

Amazon is testing a new Prime Video feature that recommends groups of content using AI rather than traditional algorithms. If you’re part of the test, you’ll see new “AI Topics” tailored to your ...

By completing this specialization, you will be able to: Explore several classic supervised and unsupervised learning algorithms and introductory deep Learning topics Explain which machine learning ...

Researchers in the group of Peer Bork, PhD, at EMBL Heidelberg developed a machine learning model that estimates microbial load, a measure of the density of microbes in the gut, without additional ...

The training of artificial intelligence models requires what one expert called “Hoover Dams of power.” The huge amount of ...

Sessions conclude with a practical application that will equip participants with a wider knowledge in machine learning topics, including the discussion of short-term non-maturing deposits, liquidity ...

Nature Machine Intelligence publishes high-quality original research and reviews in a wide range of topics in machine learning, robotics and AI. We also explore and discuss the significant impact ...

String theory and machine learning - two hot topics in physics, but how do you combine them? I'm talking to Thomas, a PhD student at the University of Oxford - my alma mater - about his research, and ...