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      LA Machine Learning: Graphical Models (Part 1) in Los Angeles

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      May 10, 2012 - May 11, 2012

      Thursday   7:00 PM - Friday 4:00 AM

      12200 West Olympic Blvd #300
      Los Angeles, California 90064

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      EVENT DETAILS
      LA Machine Learning: Graphical Models (Part 1)

      This class marks the start of the second part of the class. We move away from algorithms and concentrated on modeling our problems. This class we will be exploring graphical models. Graphical models are a kind of schema to representing your data that is a bit more sophisticated.

      We will start by introducing Bayesian networks. We will do this in the context of the spam classification problem we discussed three weeks ago. We will then generalize to Markov networks which are very good when we don't have a good causal story for our data. We unify the two networks into a common language called Factor graphs.

      We finally show why these networks are useful as we represent linear regression, logistic regression, and clustering as really graphical models. We then conclude by modeling topics in text documents and modeling how well we expect a user to be at a game.

      The focus of this class is to get comfortable with the new level of abstraction, which we will then use to solve all these problems next week.

      Optional Reading:

      http://www.cs.ubc.ca/~murphyk/Bayes/bnintro.html

      http://ftp.cs.ucla.edu/pub/stat_ser/r284-reprint.pdf (this one changed my life)

      Cost: Regular Admission 53.74

      Full Class 421.95

      Categories: Sales & Retail

      Event details may change at any time, always check with the event organizer when planning to attend this event or purchase tickets.
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