Twitter posts

  1. Pot drinker in a Keurig house. Pot drinker in a Keurig house. Pot drinker in a Keurig house. Pot drinker in a Keurig house.

  2. @selenakyle Ah, none of those sound like hand waving. I’m interested in automation and path coverage anomaly detection, for instance.

  3. E.g.

    “We will be the Facebook of Twitter because ______!”

    “Won’t that get the hacks immediately?”

    “No! I’ve got a machine learning wand!”

  4. What well known dissertations on machine learning should I read before I form the opinion that it’s dangerous hype?

  5. RT @stevewerby: CTFs are awesome, but if we can teach students how to articulate recommendations in a way non-technical staff can unders …

  6. @janinda Ah, yes, Palmer. Great link. Will check on the licenses and see it can be collated into a pull request. ty.

  7. PS homebrew’s ‘brew beer’ (http://t.co/uV7QvamcQh) is… dated.

    Homebrewers: what’s a better extract, partial, and all-grain doc to suggest?

  8. @chort0 @grahamvsworld 1.6 is in homebrew. https://t.co/lBULgeiwI5, why you runnin’ SL in 2013?

  9. @GoldbergLawDC kind of a truism: temperature inversions cause precipitation. Ground level hot air rising through cold air condenses, etc.

  10. @wadebaker @hrbrmstr Alphabet Aerobatics in the DBIR would rule. http://t.co/iSvylabZty

Pizza Slow (high quality)

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