Stochastic Gradient Descent

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Most machine learning algorithms and statistical inference techniques operate on the entire dataset.  Think of ordinary least squares regression or estimating generalized linear models.  The minimization step of these algorithms is either performed in place in the case of OLS … Read More

Destructuring in Mathematica

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A technique that I have particularly useful in Lisp-like languages like Mathematica and Clojure is destructuring. Destructuring is a mechanism for extracting parts of an expression. The Lisp “code as data” paradigm lends itself to destructuring techniques. I recently leveraged … Read More

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