Linear Algebra and Learning from Data
$45.00
Linear Algebra and Learning from Data explores the fundamental concepts of linear algebra and their applications in data science and machine learning. The course covers vectors, matrices, systems of linear equations, linear transformations, eigenvalues and eigenvectors, orthogonality, and matrix factorization, with an emphasis on how these concepts are used to represent, analyze, and learn from data. Students develop both mathematical intuition and practical problem-solving skills through data-driven applications.
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Linear Algebra and Learning from Data$45.00
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