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Machine Learning is in vogue. There are lots of different ways of implementing Machine Learning such as Decision Trees, Probability Theory and Neural Networks. Neural Networks are the most mystifying.
During this presentation, you will discover investigations into building your own neural network. You will begin exploring the requirements needed to build the Mathematical model. Solving the model, you will learn the Mathematical functions necessary to create a usable Clojure library and evaluate your neural network.
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Rickesh is a Mathematics Graduate from Warwick University. After Graduation, he was encouraged to learn Clojure and joined JUXT. This gave him a platform to perform Clojure and Machine Learning in a professional environment.