European University Institute Library

Mathematical methods in data science, Jingli Ren, Haiyan Wang

eng

Includes bibliographical references and index

index present

non fiction

Mathematical methods in data science

bibliography

1357502790

Jingli Ren, Haiyan Wang

Mathematical Methods in Data Science covers a broad range of mathematical tools used in data science, including calculus, linear algebra, optimization, network analysis, probability and differential equations. Based on the authors’ recently published and previously unpublished results, this book introduces a new approach based on network analysis to integrate big data into the framework of ordinary and partial differential equations for dataanalysis and prediction. With data science being used in virtually every aspect of our society, the book includes examples and problems arising in data science and the clear explanation of advanced mathematical concepts, especially data-driven differential equations, making it accessible to researchers and graduate students in mathematics and data science. --, Provided by publisher