Introduction Machine Learning engineers use Probabilistic Neural Networks (PNN) for classification and pattern recognition tasks. PNN use a Parzen Window along with a non-negative kernel function to estimate the probability distribution function...
Introduction I investigate the effectiveness of a Reduced Coulomb Energy (RCE) Neural Network on the classification of the University of California, Irvine (UCI) Bupa liver disorder data set. I investigate seven (7) different versions of the data...
Caution! Math Ahead! For the Math-phobic, I explain how I crunch the test results in a math-free, simple and focused blog post here. I use math here, so this may be your last chance to escape! Still with me? Excellent! The bullets below outline...
Do you have big data chops? Quick, what do these three things have in common? Yankees, Giants, Rangers, Knicks What about these? Beatles, Monkees, Beach Boys Do you have an answer for each? "New York," for example, for the first list and "Rock...
In this blog post I will revisit the first piece of code I wrote with the R Programming language, back in the early part of this decade. Coming from an Octave/MATLAB background, I really enjoyed the functional nature of R. I imagined flinging...
Why do we need yet another personality test? Because, without "big data" technologies online "personality tests" suffer these problems: With most tests, we quickly see a pattern to the answers, and can easily steer the test to the outcome we want...
For my (post) masters project on machine learning and big data infrastructure I thought it would be fun to acquire my own data set. Last semester I traded available services and architected a scalable (big data) Internet facing survey...