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 ...

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 ...

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 ...

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.

Organizations are turning to machine learning because of the return on investment. The ones doing it in real-time are topping the charts.

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world.

Machine learning algorithms are at the core of smartphones and online services like ChatGPT and YouTube. Here's how the technology works.