The latest book by Professor Li Hang, 'Machine Learning Methods (2nd Edition)', not only provides a systematic textbook for learning machine learning but also offers insights for parents on how 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.

Reinforcement learning is another variation of machine learning that is made possible because AI technologies are maturing leveraging the vast amounts of data we create every day. This simple ...

Take our reinforcement learning example of navigating a new campsite. In our classic world, we—and our AI—need to decide between turning left or right at an intersection.

If your AI can’t learn from its mistakes, it’s not intelligent — it’s obsolete. Logging isn’t a risk. It's the price of ...

A new study published in Nature Communications provides evidence that the brain chemical dopamine plays a sophisticated, dual role in how we learn, influencing both our fast, effortful thinking and ...

Unlike supervised learning, reinforcement learning algorithms must observe, and that can take time, said UC Berkeley professor Ion Stoica at Transform.