• The Journal of Astrological Big Data Ecology Podcast

  • By: B. McGraw
  • Podcast

The Journal of Astrological Big Data Ecology Podcast

By: B. McGraw
  • Summary

  • Come here to keep up with the cutting edge research from the Journal of Astrological Big Data Ecology's from the finest researches from Cranberry Lemon University.

    Listen to Deep Dives of new research publications spanning topics as far ranging as machine learning, AI, biology, ecology, astronomy, astrology, computer science, mathematics, physics and many more STEM topics, Get to know the researchers through interviews with the authors and more!

    B. McGraw 2024
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Episodes
  • Top Twitter/the-algorithm PRs and issues
    Nov 13 2024

    In this hang out chat with my coworker, we browse through some of the best open but mostly closed twitter/the-algorithm pull requests and issues. If you didn't know, when twitter went open source on github, it attracted a completely different crowd. While some thought it brought transparency, it really brought an infinite stream of troll comments, issues and PRs. Many of the PRs include fixing all the bad code by deleting everything or switching the entire algorithm with a video game. There are plenty of funny find-replace PRs and you won't believe what the highest commented issue is. Honestly it's my favorite.

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    56 mins
  • Deep Dive: The Pirate Kitty Theory: how a house cat may have led to the end of the dodo bird
    Nov 11 2024

    In this deep dive, we explore the paper 'The Pirate Kitty Theory: How a House Cat Being let out led to the Extinction of the Dodo Bird' from the prestigious Cranberry Lemon University researchers published in Journal of Astrological Big Data Ecology. Dave and Cindy discuss the various models used to determine the feasibility of a single cat extinction when the diary of Captain Poopdeck Cooksley Johnson uncover a dark revolation, his pirate cat Lord Whiskers may have caused an animal to go extinct. In the paper, differential equations, Epic Battle Simulator, and a General Adversarial Network are used to determine that we don't really know what happened.

    It is chapter 1 of 'Et al. Because Not All Research Deserves a Nobel Prize' https://packt.link/SEX9v

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    14 mins

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