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 ...

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

AI is the big idea, and machine learning is the engine that powers it Artificial intelligence (AI) is a broad term used to describe various types of virtual "intelligence" designed to replicate ...

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