A First Course in Random Matrix Theory
for Physicists, Engineers and Data Scientists
By Marc Potters,Jean-Philippe Bouchaud | Publisher: Cambridge University Press
About the book
Classical statistical tools that handled real-life data have become inadequate upon the emergence of Big Data. Random matrix theory and free calculus introduced here present valuable solutions to the complex challenges posed by large datasets. Real world applications make it an essential tool for physicists, engineers, data analysts and economists.
Editions of A First Course in Random Matrix Theory
- Hardcover
- ISBN 9781108488082
Read an Excerpt
Classical statistical tools that handled real-life data have become inadequate upon the emergence of Big Data. Random matrix theory and free calculus introduced here present valuable solutions to the complex challenges posed by large datasets. Real world applications make it an essential tool for physicists, engineers, data analysts and economists.
Frequently Asked Questions
What is A First Course in Random Matrix Theory about?
Classical statistical tools that handled real-life data have become inadequate upon the emergence of Big Data. Random matrix theory and free calculus introduced here present valuable solutions to the complex challenges posed by large datasets. Real world applications make it an essential tool for physicists, engineers, data analysts and economists.
What core themes, tropes, or subjects are explored in A First Course in Random Matrix Theory?
Mathematics and Science > Mathematics > Applied mathematics > Mathematical modelling
Where can I read a sample of A First Course in Random Matrix Theory?
You can read an official preview of the few pages here https://www.book2look.com/book/9781108488082
Who is/are the Author/s of the book A First Course in Random Matrix Theory?
Marc Potters,Jean-Philippe Bouchaud
What are the ISBN numbers for the physical and digital editions?
A First Course in Random Matrix Theory is available as hardcover(ISBN 9781108488082)