The battle at OpenAI was possibly due to a massive breakthrough dubbed Q* (Q-learning). Q* is a precursor to AGI. What Q* might have done is bridged a big gap between Q-learning and pre-determined ...

The Data Science Doctor explains how to use the reinforcement learning branch of machine learning with the Q-learning approach, providing code on how to solve a maze problem for an easy-to-understand ...

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 ...

Q-learning is a specific reinforcement learning algorithm that learns Q-values, often stored in a table. Deep learning is a part of machine learning that uses neural networks to find complex ...

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.

Machine learning has only realized a small fraction of its potential—and this field is poised for exponential growth in the years to come. Francois Chollet needs no introduction for most of the ...

Taking a few bits and bytes from machine learning could go a long way to improving K-12 and postsecondary learning.