Implementing Machine Learning Algorithms in Julia

It's easy to get excited about a new programming language but much harder to commit to using it instead of something more familiar on a real project. This talk will be a tale of just that -- I (James) will describe what it was like using Julia for all of the projects in UChicago's Machine Learning course. I'll go over what I loved and hated, what I learned about using Julia effectively, and how I think the language could be improved going forward while illustrating points with examples and livecoding.

I come from a Python background, so comparisons will be primarily to it, but the ideas are be relevant to anyone who uses dynamic languages for technical computing (R, MATLAB, etc.).

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  • James P.

    Thanks for coming everyone! My slides are now online here:

    April 29, 2014

  • Evan M.

    Great talk, James! I learned a lot.

    April 29, 2014

  • John X.

    I wish the U of C would join Coursera and offer free online courses. It would be great to preview that before your presentation. Any chance you'll record this meetup?

    1 · April 21, 2014

    • James P.

      I'm not sure if we're planning on recording, Evan would probably know more.

      As far as the content of the course goes, I wouldn't worry about it. The talk is mostly going to be about the language and it's features (or lack thereof), I'm mostly just using the coursework as motivating examples.

      April 21, 2014

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