Randomized Linear Algebra

keywords: Reasoning, Big Data, AI, Math

Randomized Linear Algebra is intriguing both theoretically and for its practical application to big data problems. I expect to write an article outlining a few things that I have learned and questions that are nagging at me. In the meantime, you will have to settle for one reference as a starting point:

Gilbert Strang
Linear Algebra and Learning from Data
Wellesley-Cambridge Press; First edition (January 2, 2019)

• Large-scale LA problems
• The basic idea
• Some results to whet your appetite to learn more
• References