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Ted Dunning from the Mahout project: Cool tricks with classifiers

A tour of recent and upcoming developments with classifiers in Mahout with particular attention to how they can be creatively misused for interesting applications.

Specifically, Ted will provide a tour of the hashed vector encoding utilities and the stochastic gradient descent learning framework.  Ted will describe how evolutionary programming and per-term annealing combine to give very impressive learning performance on large sparse problems.  Latent-factor log-linear models are coming before too long in the same framework.  Depending on time and level of interest, Ted will demonstrate how a classification farm can be built out of things you have around the house.

Ted Dunning is a core commiter on the Apache Mahout project and co-author of Mahout In Action (http://bit.ly/MahoutInAction) Get 35% off all Manning.com publications by using the coupon code newmeap35

Free pizza, drinks and parking will be provided.

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  • A former member
    A former member

    Excellent meet up. Great turn out by members. Ted's talk was informative and very funny. I think we'll all be getting our hands on Mahout as soon as we can!

    March 17, 2011

  • Nuri

    Excellent speaker and great group of people.

    March 17, 2011

  • Changsu J.

    Great presentation. Ted is very very experienced and knowledgeable.

    March 17, 2011

  • Jinyuan Z.

    Interesting topic with excellent speaker

    March 17, 2011

  • A former member
    A former member

    Very interesting talk, Ted is a great speaker.

    March 17, 2011

  • A former member
    A former member

    LA-HUG has a great bunch of people. They seem very sharp, good about sharing and good about asking interesting questions.

    March 17, 2011

  • Ryan R.

    Awesome talk as always!

    March 17, 2011

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