• Engineering

    Un-Expected Value and a Slow Snake

    I just finished the latest course towards my Masters in Electrical Engineering at UW – Probability and Random Processes for Electrical Engineering. And yeah, I got an A (>100%). And I’m glad I took it even though I had, years and years ago, taken Stochastics at Johns Hopkins. Although core concepts like probabilities, random variables and the like haven’t changed, the options available to engineers for numerical methods seem more practical now. Our final project involved using a Na├»ve Bayes Classifier to classify handwritten digits from the large MNIST database ( http://yann.lecun.com/exdb/mnist/ ). First you train your classifier against 60,000 training images (handwritten digits from 0 to 9) and then…

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