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.

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

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

The life and health insurance industry landscape across the globe is now confronting mounting challenges such as increasingly ...

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