The mathematical foundation under every ML/DL role. You will reason fluently about vectors, matrices, and their decompositions (LU, QR, eigen, SVD) and connect them to the mechanics of machine learning — least-squares regression, PCA, and the linear layers inside neural networks — implementing every operation in NumPy and explaining why it underpins model training.
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