Bayesian Nonparametrics in R

  • July 25, 2012 · 7:00 PM
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John Myles White, co-author of Machine Learning For Hackers, will be giving a presentation on Bayesian nonparametrics using R. He'll discuss tools for fitting two types of infinite dimension models to data in R: the Chinese Restaurant Process, a mixture model that extends k-means to allow the data to determine how many clusters are present; and the Indian Buffet Process, an extension of factor analysis that allows the data to determine how many dimensions should be used. Both models will be implemented in R and can be easily used on your own data sets.

 

This will be a joint meetup with the Seattle DAML group so hopefully there will be a good amount of idea exchange between the two groups.

 

UPDATE

From this map, we will be in the Thomas building (D) Sze conference room.  Enter where the orange arrow is on the map.  There will be signs as well as someone at the door until 7:15 to guide people.  There is plenty of free parking available around the center as well.

We will have the usual pizza and soft drinks and will have a donation jar available as well to help defray the costs of the food.

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  • Siyin Y.

    Missed the meetup due to traffic jam... John, could you post a URL for your slides from yesterday?

    July 26, 2012

  • Andrew M.

    Great intro to uses of non-parametrics. Lots of think about for future directions in the field. Thanks John!

    July 26, 2012

  • Sidney P.

    Although I am not a statistician nor familiar with Bayesian Nonparametrics, I found the high level explanations extremely enjoyable. The speaker did a wonderful job of describing the motivation and purposes of the discipline and how it might be useful. The talk left me hungry for more.

    July 26, 2012

  • Saptak S.

    :)

    June 13, 2012

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