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#neuralnetworks#machinelearning#computervision

Stealing Baseball Signs with a Phone (Machine Learning)

Mark Rober

85M subscribers • 5 videos on Hallway

YouTube
  • Recommended by 3 people: 3 on Hacker News.
  • A classic. People kept recommending it from 2019 to 2023.
  • Presented by Mark Rober, YouTuber and engineer
  • Linked in the descriptionJabrils/Uncle-Rober-Baseball-Predictor
  • May be out of date. Uploaded 7 years ago, in an area where tools change fast.

Beginner. No background in the topic needed.

30M views7 years ago3 recommendations

AI and machine learningNeural networks and deep learningComputer visionClassic machine learning

Mark Rober explains how neural networks work by building a machine learning app to decode baseball sign sequences.

I always sucked at baseball... until now... ok, I still probably suck. Go subscribe to Jabril's channel!!! youtube.com/channel/UCQALLeQPoZdZC4JNUboVEUg Simple app (it's actually just a webpage for now): jabrils.com/sp/ Complex app using ML: github.com/Jabrils/Uncle-Rober-Baseball-Predictor ***Music*** Dansez - Fasion epidemicsound.com/track/QXxs7iZ3Rn Dive - Lvly epidemicsound.com/track/4JmHD4z5Bj Dansez - Fasion epidemicsound.com/track/QXxs7iZ3Rn Kalimba Jam - Blue Wednesday soundcloud.com/bluewednesday/ Take Me Out to the Ballgame -Matt Cherne- smarturl.it/einsteinbeats Arrow - Andrew Applepie andrewapplepie.com/ Cereal Killa - Blue Wednesday soundcloud.com/bluewednesday/ Salamanca - Sarah, the Illstrumentalist epidemicsound.com/track/nAhVeSoknF Q - Blue Wednesday soundcloud.com/bluewednesday/ Too Happy to be cool - Notebreak soundcloud.com/notebreak/dubstep-too-happy-to-be-cool Summary: I wanted to see if I could make an app that could decode baseball signs. Turns out we could and it was a great opportunity for me to learn more about Machine Learning and neural networks and artificial intelligence from my friend Jabril. MERCH- They are soft- teespring.com/stores/markrober PLEASE CONSIDER SUBSCRIBING: tinyurl.com/MarkRober-Sub ****************************************­ I make videos like this once a month all year long while supplies last: CHECK OUT MY CHANNEL: tinyurl.com/MarkRober-YouTube FACEBOOK: facebook.com/MarkRoberYouTube TWITTER: twitter.com/#!/MarkRober INSTAGRAM: instagram.com/markrober/

Why it's here

3 people recommend this

What people say. Recommended as an exceptionally clear and engaging introduction to neural networks and machine learning for beginners.

lnwlebjelon Hacker News • Recommends

On “Ask HN: What YouTube channels do you watch with your kids?”

Mark Rober has many great and some good science and engineering videos that my kids love: link He get's my vote for the current best communicator of science, on par at times with Carl Sagan. This video explains neural nets/machine learning and had my kids riveted: link to this video We've gone down some deep lego rabbit holes, such as the great ball contraption: link These are pretty light but entertaining: link link The latter is a guy that builds fresh water aquariums. The fact that he can do this full time for a living (via YouTube) is one of the most amazing and unlikely results of the internet (IMO).
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TOMDMon Hacker News • Recommends

On “On-Device, Real-Time Hand Tracking with MediaPipe”

I'm not sure if the complexity of the codes is significantly higher in the pro teams, but I found this video on baseball code decoding pretty fun. link to this video Combined with this, it certainly seems like there's potential for a fully automated pipeline
View on Hacker News

binarymaxon Hacker News • Recommends

On “Say It Is So: Baseball’s Disgrace”

Here's a fun (semi) technical video on using machine learning for sign stealing: link to this video I wonder if the signs employed by Major League teams are as simple as the ones dissected above?
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slgon Hacker News • Mentions

On “The cheating scandal that nearly ruined baseball”

The cheating aspect is using any outside technology. A runner on second isn't forbidden from trying to steal the sign and communicate it to the batter. However you aren't allowed to have someone watching live video, using binoculars to watch the catcher from the outfield, or any other technologically aided approach to stealing signs. Plus teams often do "encrypt" their signs. That is why you might see a third base coach give 10 different signals. Only one or two of them are needed to convey the instructions. The rest are just used to hide the true signal. However it is now trivially easy to decrypt these signs using machine learning. Here is a video on it.1 1 - link to this video
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jasonkesteron Hacker News • Mentions

On “The cheating scandal that nearly ruined baseball”

A quick How To guide with links to source, for those of you with baseball teams who are behind the times: link to this video
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