Foundations of Data Science - Lecture 3

2 765
70.9
Опубликовано 17 ноября 2017, 1:23
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 microsoft.com/en-us/research/v...
автотехномузыкадетское