Lisa Green

@boudicca

Science geek with a strong affinity for computer nerds. Domino for Good , Former ED , Former Chief of Staff

San Francisco
Joined July 2007

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  1. Jun 7
  2. May 23
    Replying to
  3. May 23

    lightening talks about to start with Who Watches The Watchers

  4. Retweeted
    May 23

    Now we get to hear about how they do monitoring at CERN! So exciting!

  5. Retweeted
    May 23

    Once you have the data then what? Rebecca Weiss () talking about data science challenges understanding how users engage – at Pure Space

  6. Retweeted
    May 23

    Interesting tension between the browser data you need (to debug crashes) but shouldn't have (because, sensitive). & Rebecca

  7. May 23

    Another great post by Multicore Data Science with R and Python

  8. May 22
    Replying to

    the recipe for Banana Soup is on slide 7 :)

  9. May 22

    's slides for The Vasa Redux

  10. Retweeted
    May 22

    "Every dashboard is an artifact of a past failure. You can quote me on that."

  11. Retweeted
    May 22

    This slide deck is amazing

  12. Retweeted
    May 22

    Oh my gawd I am absolutely in love with 's talk, this is absolutely amazing and her energy is so wonderful ahhh! 💙🐰

  13. Retweeted
    May 22

    "static-graphite-namespace-of-doom" and "you cannot agreggate percentiles" quotables from

  14. Retweeted
    May 22

    "For those of us in startup land we can't spend $450,000/month on metrics." on the monitoring stack.

  15. Retweeted
    May 22

    "Pages stop the plot of your career (and your life)" making me have SO MANY FEELS about oncall

  16. May 22
  17. Retweeted
    May 14

    No. of open positions for deep learning experts, according to Gartner: 41,000. No. of deep learning experts, according to Yoshua Bengio: 50.

  18. Retweeted
    May 7

    Je vous servirai au nom de notre devise : Liberté, Égalité, Fraternité.

  19. Retweeted
    Apr 30

    After 4 years in the oven, a new release of Tut is available. I wrote about what I was trying to accomplish, ...

  20. Retweeted
    Apr 28

    Highly recommend this series if you’re looking to get started with deep learning.

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