The Machine Learning Bubble?

Written by: Michael Mozer, Scientific Advisor at AnswerOn and Professor at the University of Colorado   Five years ago, few had heard of the field of machine learning. Now, articles appear daily describing the accomplishments of machine learning, companies market their prowess in machine learning, and machine learning has become nearly synonymous with artificial intelligence. Here is […]

Representation

Written by: Michael Mozer, Scientific Advisor at AnswerOn and Professor at the University of Colorado Let’s start with an obvious point. If you want to make good predictions, you need to have the relevant information. For example, suppose a friend who is shopping for a used car calls and says, “I found a car that is red […]

Is Big Data All It’s Cracked Up To Be?

Written by: Michael Mozer, Scientific Advisor at AnswerOn and Professor at the University of Colorado A decade ago, AnswerOn often analyzed data sets with several million records. At the time, these data sets were about as large as one could feasibly model with sophisticated machine learning methods. Now we’ve entered the “big data” era. Most of us […]

What Neural Networks Learn

Written by: Michael Mozer, Scientific Advisor at AnswerOn and Professor at the University of Colorado Although neural networks have been around for sixty years (von Neumann, 1958), 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 […]

Back To The Future

Written by: Michael Mozer, Scientific Advisor at AnswerOn and Professor at the University of Colorado In the late 1980’s, neural networks were hot. Arnold as the Terminator announced that his brain was a neural network. Dick Tracy learned that neural networks were computers that learned through experience. And long before Google and Facebook, cutting-edge businesses tried using neural networks […]