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Bayes Theorem discussion

When Robin B suggested having a talk on Bayes Theorem I thought it was a great idea.  Bayesian Networks are a big deal in the AI world.  I don't know the topic well myself, so I sent out a request for assistance to the Less Wrong mailing list (where else?).  Ron Garret and Jey Kottalam have both graciously agreed to help moderate a discussion of this topic.  

Please join us as we explore prediction and probability a la Bayes. 


Here are some good references on Bayes Theorem:

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  • Marcus M.

    I learned quite a bit from the discussion. I appreciated that the discussion was not purely mathematically oriented, since I haven't done any (non-interest related) equations since high school. The walk afterwards through the nieghborhood was fun too.

    September 12, 2011

  • A former member
    A former member

    I learned a lot and am even more pumped up to do stuff. Lets build the Artilect!

    September 11, 2011

  • Robin

    In other news, Autonomy - the company that HP just bought for $10bn is all about Bayesian inference.

    August 22, 2011

  • Robin

    I think what I want is for a Bayesian magician to perform some illusions for our entertainment.

    August 22, 2011

  • Richard

    April 25, 2011

  • Dana R.

    Understanding Bayes theorem is important for understanding how causation can be infered. For more on this you could read Causal Models by Steven Sloman, which is what we are currently reading for the cog sci book group I organize.

    October 5, 2010

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