Feb 22, 2013 · 12:30 PM
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.