Tic-Tac-Toe The Hard Way podcast

#Tech #Podcasting Education #Rebecca Salois #People AI Research #Machine Learning #Human Centered #Reinforcement Learning #Supervised Learning #Tic-tac-toe #Games #Google

48:45

FREE TICKETS?! Yes, really. In this episode of Tickets to Travel: The Business of Travel Experiences , we’re joined by the ultimate guest list insider, Lance Dashoff, founder of Loudie — the app that’s quietly revolutionizing how fans score free concert, comedy, and festival tickets across the U.S. From his early days at WME curating VIP access, to launching a platform that fills empty seats and fuels unforgettable nights out, Lance spills the tea on: Why 30–40% of tickets go unsold How promoters are secretly using free ticketing to boost bar sales and fan buzz The economics behind live events and why not all sold-out shows are actually sold out How Loudie helps fans and venues win — without the scammy vibes Why travel pros and concierges should start recommending this app yesterday Whether you’re in LA, NYC, or stuck in traffic on the way to Philly — this is the episode you can’t afford to miss (literally). Download Loudie, follow us @tix2travelpod on TikTok, IG, and YouTube, and grab your next night out before someone else does. Because every ticket is a ticket to travel — and sometimes the best ones are free. www.tttpod.com…

Tic-Tac-Toe the Hard Way

Series home•Feed

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.

10 episodes

Tic-Tac-Toe the Hard Way

updated 5 years ago

Series home•Feed

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.

10 episodes

#Tech #Podcasting Education #Rebecca Salois #People AI Research #Machine Learning #Human Centered #Reinforcement Learning #Supervised Learning #Tic-tac-toe #Games #Google

All episodes

Tic-Tac-Toe the Hard Way

1
Lessons learned 33:01

5 years ago33:01

33:01

What have we learned about machine learning and the human decisions that shape it? And is machine learning perhaps changing our minds about how the world outside of machine learning — also known as the world — works? For more information about the show, check out pair.withgoogle.com/thehardway/ . You can reach out to the hosts on Twitter: @dweinberger and @tafsiri .…

Tic-Tac-Toe the Hard Way

1
Head to Head: The Even Bigger ML Smackdown! 24:26

5 years ago24:26

24:26

Yannick and David’s systems play against each other in 500 games. Who’s going to win? And what can we learn about how the ML may be working by thinking about the results? See the agents play each other in Tic-Tac-Two ! For more information about the show, check out pair.withgoogle.com/thehardway/ . You can reach out to the hosts on Twitter: @dweinberger and @tafsiri .…

Tic-Tac-Toe the Hard Way

1
Enter tic-tac-two 21:20

5 years ago21:20

21:20

David’s variant of tic-tac-toe that we’re calling tic-tac-two is only slightly different but turns out to be far more complex. This requires rethinking what the ML system will need in order to learn how to play, and how to represent that data. For more information about the show, check out pair.withgoogle.com/thehardway/ . You can reach out to the hosts on Twitter: @dweinberger and @tafsiri .…

Tic-Tac-Toe the Hard Way

1
Head to Head: the Big ML Smackdown! 25:19

5 years ago25:19

25:19

David and Yannick’s tic-tac-toe ML agents face-off against each other in tic-tac-toe! See the agents play each other ! For more information about the show, check out pair.withgoogle.com/thehardway/ . You can reach out to the hosts on Twitter: @dweinberger and @tafsiri .

Tic-Tac-Toe the Hard Way

1
Give that model a treat! : Reinforcement learning explained 26:04

5 years ago26:04

26:04

Switching gears, we focus on how Yannick’s been training his model using reinforcement learning. He explains the differences from David’s supervised learning approach. We find out how his system performs against a player that makes random tic-tac-toe moves. Resources: Deep Learning for JavaScript book Playing Atari with Deep Reinforcement Learning Two Minute Papers episode on Atari DQN For more information about the show, check out pair.withgoogle.com/thehardway/ . You can reach out to the hosts on Twitter: @dweinberger and @tafsiri .…

Tic-Tac-Toe the Hard Way

1
Beating random: What it means to have trained a model 17:14

5 years ago17:14

17:14

David did it! He trained a machine learning model to play tic-tac-toe! (Well, with lots of help from Yannick.) How did the whole training experience go? How do you tell how training went? How did his model do against a player that makes random tic-tac-toe moves? For more information about the show, check out pair.withgoogle.com/thehardway/ . You can reach out to the hosts on Twitter: @dweinberger and @tafsiri .…

Tic-Tac-Toe the Hard Way

1
From tic-tac-toe moves to ML model 21:37

5 years ago21:37

21:37

Once we have the data we need—thousands of sample games--how do we turn it into something the ML can train itself on? That means understanding how training works, and what a model is. Resources: See a definition of one-hot encoding For more information about the show, check out pair.withgoogle.com/thehardway . You can reach out to the hosts on Twitter: @dweinberger and @tafsiri .…

Tic-Tac-Toe the Hard Way

1
What does a tic-tac-toe board look like to machine learning? 23:26

5 years ago23:26

23:26

How should David represent the data needed to train his machine learning system? What does a tic-tac-toe board “look” like to ML? Should he train it on games or on individual boards? How does this decision affect how and how well the machine will learn to play? Plus, an intro to reinforcement learning, the approach Yannick will be taking. For more information about the show, check out pair.withgoogle.com/thehardway . You can reach out to the hosts on Twitter: @dweinberger and @tafsiri .…

Tic-Tac-Toe the Hard Way

1
Howdy, and the myth of “pouring in data” 22:01

5 years ago22:01

22:01

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 .…

Tic-Tac-Toe the Hard Way

1
Introducing Tic-Tac-Toe the Hard Way 2:09

5 years ago2:09