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

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

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

Overview Understanding key machine learning algorithms is crucial for solving real-world data problems effectively.Data scientists should master both supervised ...

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 ...

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