~/lightning

Lightning Talks

Lightningat Cascadia Ruby 2014 · 2014-08-11..08-12· [open-source, developer-experience]
name:none on file
slides:none on file

Multiple rapid segments give concrete outcomes: a claim of a machine learning in Ruby book with code on GitHub and working examples (facial classification, spam, sentiment); a live card‑counting demo that explains the +1/0/−1 count and shows it balancing across decks; RuboCop cutting a project from 1522 offenses reduced to ~400 after autofix; a CMS being built and launching in November; a team that built ASIC mining chips but ran out of money. Watch if demos, numbers, and working code matter.

AI-written summary · about

  1. 0:00Intro
  2. 0:18Matthew Kirk
  3. 2:42John Feminella
  4. 9:34David Molina
  5. 13:49Bethany Rentz
  6. 16:10Lauren Voswinkel
  7. 19:40Andrew Havens
  8. 24:46Cassie Schmitz
  9. 29:07Natha
  10. 32:12Kerri Miller
  11. 35:47Scott Windsor
  12. 40:04Joel Stimson
  13. 44:00John Hyland
  14. 51:01Whitney-Rose Levis
  15. 56:16Liz Rush & Hsing-Hui Hsu
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