The development of every field relies on a few foundational classic books, and artificial intelligence is no exception.

To review advances in knowledge-guided statistical learning methods for analysis of -omics data and spur wider and more frequent applications of such methods in basic, translational, and clinical ...

Statistical ideas are an essential part of this, and as a partial response, a thematic program on statistical inference, learning and models in big data was held in 2015 in Canada, under the general ...

Statistical modeling continues to deliver distinct value to businesses both independent of, and in concert with, machine learning.

A prior course in statistics at the level of IEMS 304; A course in matrix analysis; Proficiency in programming as coding will be a significant part of the class. This course examines a modern ...

So learning in deep neural networks shares at least a few things with the way children learn. It probably shares a lot of things, and it's probably not just children it shares them with.

Selection of appropriate adjuvant therapy to ultimately reduce the risk of breast cancer (BC) recurrence is a challenge for medical oncologists. Several automated risk prediction models have been ...

This issue has now been addressed. Li Hang's newly launched book 'Machine Learning Methods (2nd Edition)' dedicates a chapter ...