Tic-Tac-Toe the Hard Way
Brought to you by Google’s People + AI Research team, this podcast is an introductory guide to some of the nuts-and-bolts of building machine learning systems. A writer and a software engineer engage in an extended conversation as they take a hands-on approach to exploring how machine learning systems get made and the human choices that shape them. Along the way they build competing tic-tac-toe agents and pit them against each other in a dramatic showdown! This is a podcast for anyone, from curious non-techies to developers dabbling in machine learning, interested in peeking under the hood at how people make and shape ML systems.
