Web Reference: Warning, this live stream was a mess and is probably unwatchable! But if you choose to continue you'll see me attempt to build a Naive Bayes text classifier ... 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. Naive Bayes assumes that each feature/variable of the same class makes an: 1. independent 2. equal contribution to the outcome. Side Note: The assumptions made by Naive Bayes are not generally correct in real-world situations. In-fact, the independence assumption is often not met and this is why it is called “Naive” i.e. because it assumes somethin...
YouTube Excerpt: Warning, this live stream was a mess and is probably unwatchable! But if you choose to continue you'll see me attempt to build a ...
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