Tic-Tac-Toe the Hard Way

{{ show.title }}Trailer Bonus Episode {{ selectedEpisode.number }}
{{ selectedEpisode.title }}
{{ displaySpeed }}x
{{ selectedEpisode.title }}
By {{ selectedEpisode.author }}
Broadcast by


David and Yannick get started on their project to build competing machine learning systems that play tic-tac-toe. They discuss the human choices that will shape their systems along the way.

Show Notes

Welcome to the podcast! We’re Yannick and David, a software engineer and a non-technical writer. Over the next 9 episodes we’re going to use two different approaches to build machine learning systems that play two versions of tic-tac-toe. Building a machine learning app requires humans making a lot of decisions. We start by agreeing that David will use a “supervised learning” approach while Yannick will go with “reinforcement learning.”

For more information about the show, check out pair.withgoogle.com/thehardway

You can reach out to the hosts on Twitter: @dweinberger and @tafsiri

What is Tic-Tac-Toe the Hard Way ?

A writer and a software engineer from Google's People + AI Research team explore the human choices that shape machine learning systems by building competing tic-tac-toe agents.