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Business Case for Machine Learning: Algorithms and Use Cases

  • Feb 22, 2013 · 12:30 PM
  • USF

Speaker: Dr. Michael Bowles

Machine learning suffers from being difficult to explain to non-technologists.  One way to motivate the use of machine learning is to demonstrate their economic advantages.  In this talk we'll match up algorithms and business cases in order to help the audience answer the question, "Why bother?", when asked by a client or boss.  We'll cover the various problem formulations from machine learning and them match combinations of these to some easily understandable business usages.

Bio: Dr. Michael Bowles teaches a variety of machine learning classes at Hacker Dojo - a co-working space in Mountain View, CA.  He also consults, serves on advisory boards for a number of startups with machine learning in their products and has recently co-founded Biomatica - a biotech startup using machine learning to improve the economics of drug discovery.

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  • Kirsten K.

    Hi Everyone, The slides from Dr. Bowles' presentation are now posted to the "Files" page under "More" as he has graciously provided them to us.

    March 4, 2013

  • Patrick F.

    Really enjoyed the lecture. Was it recorded?

    February 25, 2013

    • Kirsten K.

      Sorry Patrick, we are no longer recording the lectures.

      February 28, 2013

  • Erik P.

    Any word yet on the Title?

    February 19, 2013

  • A former member
    A former member

    Oops, have a conflict

    February 19, 2013

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