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by epgui
1261 days ago
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The foundations of AI/ML are really linear algebra and statistics. But not the kinds of stats most people learn in undergrad: focus on linear models (there are tons of great books on just that; also look up “common statistical tests are linear models” for a great intro into what i’d call useful stats), bayesian stats, anova/manova/permanova, etc. |
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