In this multi-part coding challenge, I create a system where autonomous steering agents evolve the behavior of eating food and avoiding poison.
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#187 — Bayesian Text Classification
In this coding challenge, I struggle my way through implementing a Naive Bayes text classifier in JavaScript using p5.js. I explain Bayes' theorem, demonstrate word frequency analysis, implement Laplacian smoothing, and build a working sentiment classifier that runs entirely in the browser.
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steering behaviors
In this coding challenge, I look at extracting font path points from text in p5.js with p5.Font.textToPoints(). I render the text as particles with steering behaviors that react to the mouse.
