Machine Learning 202

Machine Learning 202

We will cover several machine learning topics in detail.  Among those are Bayesian Belief Networks, Prof. Jerome Friedman's gradient boosting papers, svd's and recommender systems. 

For Machine Learning 202, we assume you are familiar with basic statistical concepts and have the ability to write programs running different algorithms on public data sets. We assume knowledge at the level of "Introduction to Data Mining" by Tan.  If you have taken our Machine Learning 101102 classes and Machine Learning 201, you are well prepared for this course.

We expect you to have previously used R.  We will use R for discussing homework problems and comparing different solution approaches.  .    http://cran.r-project.org/  For your review, R are here:  References for R,   Reference for R Comments,   More R references.  To integrate R with Eclipse  click here.

The class will meet:
Wednesday and Thursday evenings. 
from 7:00 pm to 9:00 pm
from 8/24/2011 - 9/22/2011

For a total of 10 meetings

Machine Learning 202 - Course Outline
Week 1: Collaborative Filtering, Recommendation Engines
Week 2: Bayesian Belief Networks, EM & Factor Analysis
Week 3: Advanced Trees
Week 4: Gradient Boosting
Week 5: Learning Theory, Debugging Methods

The book for the course is: Elements of Statistical Learning by Hastie, Tibshirani and Friedman

The cost for full participation in the 10 class meetings is $300 or $200 for hacker dojo members.  Hacker dojo members may participate in evening classes for free.

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  • A former member
    A former member

    Hello, Since I don't have a car, I was wondering if someone would
    be kind enough to give me a ride from/to the Mountain View
    caltrain to/from Hacker Dojo, for the rest of the Machine Learning 202 classes.
    Thanks,
    Paul

    August 25, 2011

  • A former member
    A former member

    Great class with interesting discussions. Might be great to have time/breaks for networking.

    August 25, 2011

  • Vicky Y.

    @Donghui, you can pay in person as Tricia told me.

    August 24, 2011

  • Tricia H.

    We will be teaching the class through Webex. Sign up for the class at http://machinelearning202.eventbrite.com/ After you sign up for the class instructions will be sent to show you how to log into the class. They will be sent to your email about an hour before the class starts.

    Regards, Tricia

    August 23, 2011

  • Suriyanto L.

    Hello, Tricia. You mentioned that we could take this class remotely and I posted an interest on that. Can you give us more info on how?

    August 23, 2011

  • Jan Alden C.

    I am planning to attend some of the sessions remotely.

    August 23, 2011

  • Naren C.

    One more request for ability to attend this remotely...I took the 101 class and I thought it was fantastic. It will be really helpful if I can attend the 202 remotely...

    August 22, 2011

  • Charis K.

    Remotely please?

    August 22, 2011

  • Laura L.

    Hey Tricia and Mike,
    Is the first class being recorded? I can't make the Wed Aug 24 class.

    August 18, 2011

  • Suriyanto L.

    I am interested to take this class remotely.

    August 17, 2011

  • Bob F.

    I'm from Portland, ME and would like to take this course remotely.

    August 17, 2011

  • subhasish m.

    I am from India, and am interested in taking this class remotely if possible.

    August 14, 2011

  • Peyman M.

    I'm interested in taking this class remotely if possible.

    August 13, 2011

  • Tricia H.

    If you would like to take the class remotely, let us know.

    August 10, 2011

  • Tricia H.

    Yes ... We will be teaching this class starting August 24th. We hope to see you there!

    August 10, 2011

17 went

Your organizer's refund policy for Machine Learning 202

Refunds offered if:

  • the Meetup is cancelled
  • the Meetup is rescheduled

Payments you make go to the organizer, not to Meetup. You must make refund requests to the organizer.

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