Searching for Exotic Particles in High Energy Physics

Posted by Christopher Mertin on June 09, 2017 in Project • 8 min read

Using data pertaining to Super Symmetry (susy), I explore the use of various algorithms to try and identify particles from data. I look at the use of a Random Forest, Gaussian Na├»ve Bayes, Multi-Layer Perceptron, and Deep Learning with the use of Dropout.

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Movie Recommendations (Part 2)

Posted by Christopher Mertin on February 19, 2017 in Project • 13 min read

An extension of the previous movie recommendation system, however with the use of Latent Factors with Keras to create a Neural Network to calculate the similarities instead of using MapReduce. This is a much more accurate implementation as it allows the addition of a bias term.

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