The teaching and learning of linear algebra have evolved significantly over recent decades, underpinned by diverse approaches ranging from theoretical expositions to dynamic, model-based environments.

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

Quantum machine learning software could enable quantum computers to learn complex patterns in data more efficiently than classical computers are able to.

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.

The time-tested technique for predicting numbers, and the role of domain knowledge in machine learning.