Concepts and algorithms of machine learning including version-spaces, decision trees, instance-based learning, networks, evolutionary computation, Bayesian learning and reinforcement learning.

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

Professor Li Hang's new book is positioned as a university textbook and a reference for professionals, suitable for readers with a certain background in calculus, linear algebra, and computer science.

Artificial Intelligence remains very different from human intellect. Future AI trainers must consider how humans learn about morals, to eventually create safe and ethical machines.

In this module, we delve into the concept of clustering, a fundamental technique in data analysis and machine learning. Clustering involves grouping a set of objects in such a way that objects in the ...

CSCA 5622: Introduction to Machine Learning: Supervised Learning CSCA 5622: Introduction to Machine Learning: Supervised Learning Preview this course in the non-credit experience today! Work you ...