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

The background information (knowledge) associated with a machine learning problem is the set of concepts which we hope to see utilised in the concept learned to achieve categorisations.

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.

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 ...

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