Foundations of Data Science - Lecture 2
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18.07.23 – 2 3484:44Опубликовано 16 ноября 2017, 23:21
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.
See more on this video at microsoft.com/en-us/research/v...
See more on this video at microsoft.com/en-us/research/v...
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