Linking Fundamental Physics to Deep Learning

Ever since Mehta and Schwab laid out the relationship between restricted Boltzmann machines (RBM) and deep learning mathematically (see my previous entry), scientists have been discussing why deep learning works so well. Recently, Henry Lin and Max Tegmark put a preprint on arXiv (arXiv:1609.09225), arguing that deep learning works because it captures a few essential … More Linking Fundamental Physics to Deep Learning

rJava: Running Java from R, and Building R Packages Wrapping a .jar

While performing exploratory analysis, R is a good tool, although we sometimes want to invoke some stable Java tools. It is what the R Package rJava is for. To install it, simply enter on the R Console: And to load it, enter: As a simple demonstration, we find the length of a strength. Start the … More rJava: Running Java from R, and Building R Packages Wrapping a .jar

SOCcer: Computerized Coding In Epidemiology

There are many tasks that involve coding, for example, putting kids into groups according to their age, labeling the webpages about their kinds, or putting students in Hogwarts into four colleges… And researchers or lawyers need to code people, according to their filled-in information, into occupations. Melissa Friesen, an investigator in Division of Cancer Epidemiology … More SOCcer: Computerized Coding In Epidemiology

Law Prediction

On August 1, my friends and I attended a meetup host by DC Data Science, titled “Predicting and Understanding Law with Machine Learning.” The speaker was John Nay, a Ph.D. candidate in Vanderbilt University. He presented his research which is at an application of natural language processing on legal enactment documents. His talk was very … More Law Prediction