I currently work for carsforsale.com writing middleware and data analysis code in .net core (c#).
I am also a student at Dakota State University majoring in Computer Science Currently enrolled part time in Trigonometry and Artificial Intelligence (fall 2018)
Outside of school and work I passionately develop cryptocurrency trading algorithms that implement machine learning/artificial intelligence algorithms as a means to achieve profitability. Most recently I became started working on repos that have neat, hyperneat, or eshyperneat (neuroevolution of ANN's) implementations, and I have reason to believe that my n-dimensional-tree branch found here: https://github.com/nickwilliamsnewby/pureples/tree/n-dimensional-tree is possibly the sole open source implementation that supports any number n >= 2 dimensional substrate (I have only found implementations with support for psuedo 3d substrates that still queries 2d spaces), and my cryptocurrency trainer/trader surely being the only crypto trading algo that implements a 3d fully evolving substrate using a cppn to query a 6 dimensional hypercube for weights, number of hidden nodes, and structure.
Summerset, SD, United States
Member for 1 year, 5 months
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Last seen Nov 1 '19 at 15:50
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