Answer shortly "Who is NAME_1" based on text or tell if the text irrelevant. 
"[Music] hi everyone I'm NAME_2 from the University of Washington and I'm really excited about a new lecture series on the singular value decomposition or the SVD this is chapter one of our new textbook on data driven science and engineering by myself and NAME_3 and I'm gonna walk you through this extremely useful tool the SVD in about twenty short lectures telling you all about how you can use it for data reduction dimensionality reduction and. rank algorithm so when you search something on Google and it presents the websites in an order it's using an SVD for that a singular value decomposition it's the basis of many many facial recognition algorithms to tell who which person is who from an image so you could again build these singular value decomposition representations of human faces it's also used in recommender systems like Amazon and Netflix where it will essentially build correlation patterns of what types of people like. you can compute the SVD and you can get interpretable understandable features that you can then build models on it's scalable you can apply it to very large data sets and so that's that's also nice is that you know Google's it has massive massive data sets they can still run these scalable singular value decomposition on their data so I'm extremely excited about walking you through kind of all of the uses of the SVD we're going to talk about principal components analysis correlation matr The letter u should appear at least 48 times.
user