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Ecology PhD student/Data science enthusiast
We find the top key words from each article, find each embedding's "nearest neighbors", and use them to guess each article's contents. The general classifier is based on a custom Bayes/GMM estimator.
We have analyzed and visualized gas turbine data at a power site level using Python, R, and Google Earth.
