HackerTube

THE VIDEO SHELF · machine learning for sign stealing

Stealing Baseball Signs with a Phone (Machine Learning)

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.

Why HN readers recommended it

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

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
Mark Rober
Topic
machine learning for sign stealing
Format
demo
Level
general
HN recommenders in dataset
3
HN mentions in dataset
5
Recommendation years in dataset
2019–2023

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

  • 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 …

    lnwlebjel on Hacker News · 2023-07
    In Ask HN: What YouTube channels do you watch with your kids?
  • 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

    TOMDM on Hacker News · 2019-08
    In On-Device, Real-Time Hand Tracking with MediaPipe
  • 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?

    binarymax on Hacker News · 2020-02
    In Say It Is So: Baseball’s Disgrace

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.