How much linear algebra needed for data science?

Question

Can anyone tell me how much linear algebra needed for data science?

Answer 1

You need to learn the following topics of Linear Algebra:

• Principal Component Analysis (PCA)
• Singular Value Decomposition (SVD)
• Eigen decomposition of a matrix
• LU Decomposition
• QR Decomposition/Factorization,
• Probability Theory and Statistics

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