The other half of quant math — vectors, matrices, eigenvalues, SVD, PCA, least-squares regression, and convex optimization — built to where you can extract PCA factors and solve a Markowitz portfolio by hand.
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Vectors, Dot Products & Norms
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3 lessons · 24 min · 0 free / 3 Pro
4 lessons · 32 min · 0 free / 4 Pro
3 lessons · 24 min · 0 free / 3 Pro
3 lessons · 24 min · 0 free / 3 Pro
4 lessons · 32 min · 0 free / 4 Pro
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