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.

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 ...

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 ...