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Matt Nedrich: Machine Learning

Machine Learning is the general study of programs that learn from data. Machine Learning algorithms can be used to write software that we don't know how to write directly (e.g., spam filters, image classification, handwriting recognition, etc.).

This is a huge and broad topic. My goal is to give an introduction. Regardless of what type of software you write, chances are there are ways to employ some type of machine learning or data analysis algorithm to do something cool.

Rough Agenda:

Introduce some basic machine learning concepts (e.g., data representation, feature spaces, etc.)

Describe and discuss different machine learning problems (e.g., regression, classification, clustering), their applications, and some of the algorithms used to solve them.

This will mostly be a conceptual talk. All of the topics covered will be programming language agnostic.

About Matt Nedrich:
Matt is a software engineer with an interest in a variety of computer science and mathematics topics. He has a M.S. in Computer Science and Engineering from The Ohio State University. For the past three years he has worked on CPU and SOC validation/characterization at Intel. He recently moved to Ann Arbor in 2013.

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  • Sheng K.

    Thanks for sharing the slides and the good talk.

    May 9, 2014

  • Matt N.

    Thanks everyone.

    For anyone interested, I've put a copy of my slides here:
    http://mattnedrich.com/presentations/matt_nedrich_machine_learning_presentation.pdf

    4 · May 8, 2014

  • Bob A.

    Sorry I missed it. Heard lots of good things about it from folks who are stingy with praise ;-)

    1 · May 7, 2014

  • Richard Alexander G.

    I learned several useful things.

    May 7, 2014

  • Christopher S.

    Too bad I had to miss this. I would defiantly try to go to a follow up. Any slides?

    May 7, 2014

  • drew v.

    Great talk, it would be cool to have a follow up that went into more depth.

    May 7, 2014

  • Todd F.

    Very cool. Well done.

    May 6, 2014

  • Jon E.

    Good technical content, welcoming atmosphere.

    May 6, 2014

  • Frank D.

    Matt - I can't attend this evening. However, I'm working my way through a Machine Learning course this quarter. If you are willing to share an electronic copy of your presentation, I'd be very interested.
    Thanks and best regards,
    Frank

    May 5, 2014

    • Bob A.

      Not being able to make it tonight (Monday) should present no problem. Perhaps you will be able to make it on Tuesday evening when we'll all be there.

      May 5, 2014

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