Chris AlbonVerified account

@chrisalbon

Data scientist. Cofounded . Cohost . Mod /r/datascience. PhD. Creator . Doing a

Rural border town
Joined December 2007

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  1. 9 hours ago

    Took me too long to realize this wasn't about Bayesian statistics.

  2. 11 hours ago
  3. Retweeted
    11 hours ago

    Never park at Oak airport. holds you hostage. At Least were there to set us free. THANK YOU Alameda Sherrif!!

  4. 11 hours ago

    "I am level 3 certified in X" "What is X?" "They closed down after a year after being bought."

  5. 11 hours ago

    It is never a good sign when a startup starts advertising training sessions for their technical product.

  6. 13 hours ago
    Replying to

    That, right there, is rule of law.

  7. 13 hours ago
    Replying to

    I remember one time someone brought a rifle to a location Obama was visiting. Secret Service said he was within his rights to do so.

  8. 13 hours ago
    Replying to

    military, intelligence, and security force in the world, and yet you can call him a "traitorous shit smear" in public without consequences

  9. 13 hours ago

    An aspect of the strength of America's democracy I never appreciated before: The President controls the world's largest...

  10. 13 hours ago
  11. Retweeted
    19 hours ago

    Still reliant on good labels eventually. Learning features isn't the same as learning the mapping from your data to the outcome you care abt

  12. Retweeted
    16 hours ago
    Replying to

    It's your own fault for not speaking up at the Dartmouth Conference of 1956

  13. Retweeted
    Jun 10
  14. Retweeted
    Jun 10

    Consider MLKit, ARKit, HealthKit, Siri (and new HomePod), iCloud Photos… Apple has lots of data and 💰, the race is far from over.

  15. Retweeted
    Jun 10
    Replying to

    Agreed. As long as Apple sells devices and collects data, they’ll have a future in AI. The race has only started.

  16. Jun 10

    *mashes unfollow button so hard the key breaks*

  17. Retweeted
    Jun 10
    Replying to
  18. Retweeted
    Jun 10

    Requires large data sets to start with of course!

  19. Retweeted
    Jun 10

    I'd argue that transfer learning levels the playing field in domains where it works. Image classification can now be done with little data.

  20. Retweeted
    Jun 9
    Replying to

    I think this should be stated more strongly - without the right data & volume modern ML isn't much use, OS or not.

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