Machine Learning that Matters
Last Updated on September 5, 2016 Reading bootstrapping machine learning, Louis mentioned a paper that I had to go off and read. The title of the paper is Machine Learning that Matters (PDF) by Kiri Wagstaff from JPL and was published in 2012. Machine Learning that Matters Kiri’s thesis is that the machine learning research community has lost its way. She suggests that much of machine learning is done for machine learning’s sake. She points to three key problems: Overfocus on […]
Read more