Foundations of Data Science - Lecture 6 - Singular Value Decomposition - l
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17.02.23 – 2 5911:01:27Опубликовано 12 декабря 2017, 4:56
Modern data often consists of feature vectors with a large number of features. High-dimensional geometry and Linear Algebra (Singular Value Decomposition) are two of the crucial areas which form the mathematical foundations of Data Science. This mini-course covers these areas, providing intuition and rigorous proofs. Connections between Geometry and Probability will be brought out.
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