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Hack Night

Since we first announced there have been lots of discussions about the right way to have this meetup. Eventually after thinking about DataFest it was decided that we should do a 2-part meetup.

Part 1 consists of a workshop where we will interactively go through a dataset and figure some stuff out about it and build some basic classifiers.

Part 2 will occur one week later (May 14th) where you folks all come back and we see who has built the best classifier in a sort of show-and-tell complete with leaderboard.

Because Part 1 has an interactive software side, and I don't think I can handle a workshop with more than 30 to 35 people, there is a qualifying round to attend. You have to get R and scikit-learn installed on your computer.

 

How will I know you did this?

I have uploaded a subset of the data we will be exploring and two scripts that process in at https://www.dropbox.com/s/gf2qrh1md2wwhfi/hack_night.zip. These scripts each spit out a number, you must give me the sum of these numbers when you RSVP as it will be one of the questions I ask. I will periodically cancel your RSVP if the correct answer isn't present.

Note you will not need to do anything other than run these two scripts. There is no coding required.

The easiest way to get R installed is using rstudio (http://www.rstudio.com/)

The easiest way to get scikit-learn installed is likely Anaconda. You don't need to pay for Anaconda. The free version will suffice (https://store.continuum.io/cshop/academicanaconda)

Feel free to use the discussion boards if you need help or get stuck.

-----------------

A note on the venue:

We will be meeting at Oversee.net's offices in Downtown LA, on the 44th floor of the Paul Hasting Building. Just tell the security guard you are going to a meeting at Oversee.net. See below for parking information.

They are located at 515 S. Flower St. on the 44th floor of the Paul Hastings Tower at City National Plaza in Downtown Los Angeles.

* You must bring a valid I.D. to check-in with the building security.

Parking

The best place to park is at the LA Central Library parking garage at 524 S Flower Street lot across the street (first come, first served); it's literally across the street from the office building. The rate after 4pm is $8 without validation. Also, here is a map of the meters and free spots after 6/7/8pm (please check all signs) - http://g.co/maps/873az

*Note: Do Not Park in the City National Parking parking structure downstairs at 500 S. Flower St. There is no validation provided there and per hour is more expensive than parking at the Library.

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  • Victor

    software developer interested in machine learning - currently taking Caltech and Stanford ML courses

    1 · April 25, 2013

    • Raymond G.

      Hi Victor! I'm also now taking the Caltech and Stanford ML courses! We should talk.

      May 13, 2013

  • A former member
    A former member

    Anyone familiar with building the term document matrix from column of text using R?

    May 10, 2013

  • Marty B.

    Great presentation by Rob to frame up the problem and the challenge.

    May 8, 2013

  • Leela Krishna K

    Good talk by Rob!

    May 8, 2013

  • Jeremy L.

    Rob introduced me to some amazing tools!

    May 8, 2013

  • Eric K.

    Great hands-on stuff!

    May 8, 2013

  • Jeremy L.

    May 7, 2013

  • Jolly, M.

    working late

    May 7, 2013

  • Tom M.

    Something came up at work, not going to be able to make it tonight. :(

    May 7, 2013

  • Nesim S.

    HI Rob, I will send a message with the sum of the scripts output, since you said don't put it in comments.

    May 7, 2013

  • Patrick K.

    Sorry, I think I signed up for this before it had a time and place (and prereqs!)

    May 7, 2013

  • Tim Triche, J.

    Argh, I'm going to have to back out of this. Too much work. If the dataset/slides/goal can be sent out, though, I'll build a classifier and plot some ROC curves for practice

    May 7, 2013

    • Rob Z.

      I'll share all of it after the meetup

      May 7, 2013

  • A former member
    A former member

    Will there be enough electrical outlets for all the notebook computers?

    May 7, 2013

    • Rob Z.

      I think so. I'll follow up to make sure it is certain.

      May 7, 2013

  • Linda M.

    So sorry, but now can't make it. Have a great hack night and I 'll see you at the next one!

    May 6, 2013

  • A former member
    A former member

    Take the new expo line of metro! and save gas and the hassle/expense of parking in downtown LA.

    April 30, 2013

  • Arlen H.

    Sorry, can't attend.

    April 29, 2013

  • Brian L.

    Note: as for parking, the validated rate of $1 (validation available inside the library, with library card, also available inside) is only good until the library closes at 8 pm.

    If you go South a few blocks, parking gets cheaper.
    Carpooling is a very good idea.

    1 · April 28, 2013

  • Jeremy L.

    For people asking "what scripts?", when you RSVP, as Rob describes above, you need to install R and scikit-learn (including Python) if you don't already have them, then download <a href="https://www.dropbox.com/s/gf2qrh1md2wwhfi/hack_night.zip">hack_night.zip</a>;, unzip it, and run the included fb_attendees.R and fb_attendees.py. Each script prints a single integer; you should enter the sum of the 2 integers into the RSVP form.

    If you've already RSVPed and now want to update your answer, you should be able use the "Change RSVP" button to the upper right (though for some reason it took me 2 tries to edit my answer).

    1 · April 28, 2013

  • Rob Z.

    Please don't put the numbers in the comments. If you have trouble entering the solution, contact me so I don't remove your RSVP.

    April 25, 2013

  • Linda M.

    This one is way above my head, Rob. But have an amazing meet up as I am sure it will be! Have fun everyone.

    April 25, 2013

  • A former member
    A former member

    I found this link to download various python package including scikit-learn: http://www.lfd.uci.edu/~gohlke/pythonlibs/

    April 24, 2013

    • Rob Z.

      I can't promise these will work, keep in mind scikit-learn depends on numpy and scipy. But if you get my scripts to run then no worries.

      April 24, 2013

  • Rupesh

    What will be start time, and expected end time?

    March 24, 2013

  • A former member
    A former member

    Would definitely come if in Pasadena!

    February 28, 2013

  • Patrick K.

    Especially if it's in Pasadena.

    February 14, 2013

  • Thomas F.

    Pasadena would be great.

    February 14, 2013

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