Whenever I go to some social interaction (back when I could go to a social interaction), people I know or just met inevitably ask what I do and what AnswerOn does.
Michael Mozer, Scientific Advisor at AnswerOn and Professor at the University of Colorado discusses AnswerOn’s early days of churn prediction.
Although neural networks have been around for sixty years, a seminal research paper appeared thirty years ago that revolutionized the field. The paper was called Learning representations by back-propagating errors (Rumelhart, Hinton, & Williams, 1986). In this post, I’ll explain what “learning representations” means and why this idea is so central to neural networks.