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

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 ...

This issue has now been addressed. Li Hang's newly launched book 'Machine Learning Methods (2nd Edition)' dedicates a chapter ...

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 ...

Rui Song, Weiwei Wang, Donglin Zeng, Michael R. Kosorok, PENALIZED Q-LEARNING FOR DYNAMIC TREATMENT REGIMENS, Statistica Sinica, Vol. 25, No. 3 (July 2015), pp. 901-920 ...

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 ...