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wehub-resource-sync 2de7548470 chore: import upstream snapshot with attribution
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01-linear-algebra-intuition
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02-vectors-matrices-operations
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03-matrix-transformations
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04-calculus-for-ml
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05-chain-rule-and-autodiff
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06-probability-and-distributions
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07-bayes-theorem
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08-optimization
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09-information-theory
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10-dimensionality-reduction
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11-singular-value-decomposition
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12-tensor-operations
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13-numerical-stability
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14-norms-and-distances
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15-statistics-for-ml
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16-sampling-methods
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17-linear-systems
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18-convex-optimization
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19-complex-numbers
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20-fourier-transform
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21-graph-theory
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22-stochastic-processes
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README.md
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README.md

Phase 1: Math Foundations

The intuition behind every AI algorithm, through code — not textbooks.

See ROADMAP.md for the full lesson plan.

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