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Stealing Baseball Signs with a Phone (Machine Learning)

Mark Rober · demo · Watch on YouTube

Machine learning & deep learningComputer vision, speech & NLPSports & athletics

What it is

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 Hacker News recommends it

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

  • 3 people recommended it
  • 3 different months
  • 1 strong recommendations
  • first 2019, last 2023

What HN commenters said

  1. “This video explains neural nets/machine learning and had my kids riveted”

    Explains neural nets and machine learning in a way that riveted kids.

    lnwlebjel, 2023-07 · Strong recommendation · in “Ask HN: What YouTube channels do you watch with your kids?”

  2. “I found this video on baseball code decoding pretty fun.”

    Fun video on decoding baseball signs with machine learning.

    TOMDM, 2019-08 · Recommendation · in “On-Device, Real-Time Hand Tracking with MediaPipe”

  3. “Here's a fun (semi) technical video on using machine learning for sign stealing”

    Fun semi-technical video on ML sign stealing.

    binarymax, 2020-02 · Recommendation · in “Say It Is So: Baseball’s Disgrace”

Excerpts from Hacker News comments, linked to the originals. Summaries and labels were written by a language model from those comments.

Topics: neural networks, baseball, sign stealing, mark rober, machine learning

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