Foundations of Data Science – Lecture 4
Episode details
Episode description
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. Text Book: Foundations of Data Science. See more on this video at https://www.microsoft.com/en-us/research/video/foundations-of-data-science-lecture-4/