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Linear Algebra Crash Course

From dot products to Gram-Schmidt. Eighteen problems through the linear algebra every ML engineer should be able to code by hand.

18 problems

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Continue collection · Vector Dot Product

Problems

Vector Dot Product
la-004Linear Algebra
Easy
Matrix Multiplication
la-001Linear Algebra
Easy
Matrix Transpose
la-002Linear Algebra
Easy
L2 Vector Norm
la-006Linear Algebra
Easy
2x2 Matrix Determinant
la-008Linear Algebra
Easy
Orthogonality Check
la-015Linear Algebra
Easy
Hadamard Product
la-020Linear Algebra
Easy
Frobenius Norm
la-023Linear Algebra
Easy
2x2 Matrix Inverse
la-010Linear Algebra
Medium
Cosine Similarity of Vectors
la-025Linear Algebra
Medium
Outer Product
la-027Linear Algebra
Medium
Matrix Power
la-031Linear Algebra
Medium
Matrix Rank via Row Reduction
la-038Linear Algebra
Medium
Forward and Back Substitution Solve
la-039Linear Algebra
Medium
Eigenvalues 2x2
la-083Linear Algebra
Medium
Reduced Row Echelon Form
la-045Linear Algebra
Hard
LU Decomposition (Doolittle)
la-047Linear Algebra
Hard
Gram-Schmidt Orthonormalization
la-049Linear Algebra
Hard