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4:00
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DataMListic
Fisher's Linear Discriminant - Explained
How do you find the single best angle to separate two groups of data? Fisher's Linear Discriminant does it by balancing two competing goals — pushing the class means apart while keeping each cluster tight. We build the intuition from scratch: start with a bad projection where everything overlaps, rotate through angles to find the sweet spot ...
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