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.

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

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 ...

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

This is a 10-week bridge course that prepares students for the fundamentals of linear algebra as they are used in Applied Statistics courses.