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Naive Bayes assumes every feature is independent. For spam detection, that's provably false — words in a sentence are obviously correlated. The model works well anyway. Figuring out why a wrong assumption still produces a right answer taught me (More)
A rule-based system catches the DDoS attack you've already seen. An attacker who stays under your volumetric threshold walks past it. Machine learning changes the question from "is traffic above X requests per second" to "does this traffic look s (More)