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Stealing Baseball Signs with a Phone (Machine Learning)

Mark Rober · 30M views · 2019-06-30 · 13:30

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Overview

Mark Rober and Jabril build an app that uses machine learning to decode baseball sign sequences. The video also explains neural networks in a simple, accessible way.

On Hacker News

Recommended as a fun, semi-technical intro to machine learning that holds kids' attention.

Recommended by 3 HN people across 3 months · HN mentions 2019–2023

Topics

Machine learning & deep learningComputer vision, speech & NLPSports & athletics
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neural networksbaseballsign stealingmark robermachine learning

What people said

lnwlebjel · 2023-07 · Strong recommendation

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: [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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binarymax · 2020-02 · Recommendation

Here's a fun (semi) technical video on using machine learning for sign stealing: [VIDEO] I wonder if the signs employed by Major League teams are as simple as the ones dissected above?

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TOMDM · 2019-08 · Recommendation

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. [VIDEO] Combined with this, it certainly seems like there's potential for a fully automated pipeline

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Sources

Video by Mark Rober, played through YouTube.

Data and selection notes

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