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

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

Humans intuitively understand causality, but AI struggles. Researchers look at creating AI systems that can learn causal representations.

Another reason self-paced learning is so effective is that it mirrors how professionals work in real life. Data science ...

David H. Jonassen, On the Role of Concepts in Learning and Instructional Design, Educational Technology Research and Development, Vol. 54, No. 2 (Apr., 2006), pp. 177-196 ...

The rise of generative AI has made one thing clear: text no longer needs to remain static. With its latest release, Speechify ...

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