EPISODE · Jul 21, 2020 · 22 MIN
Howdy, and the myth of “pouring in data”
from Tic-Tac-Toe the Hard Way · host People + AI Research
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.
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What this episode covers
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.
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Howdy, and the myth of “pouring in data”
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