TY - BOOK ID - 118224475 TI - Mathematical methods in data science AU - Ren, Jingli AU - Wang, Haiyan PY - 2023 SN - 0443186804 9780443186790 0443186790 9780443186806 PB - Amsterdam, The Netherlands ; Oxford, England ; Cambridge, Massachusetts : Elsevier, DB - UniCat KW - Big data. KW - Data sets, Large KW - Large data sets KW - Data sets KW - Big data KW - Big Data KW - Mathematics. KW - Mathematical models. UR - https://www.unicat.be/uniCat?func=search&query=sysid:118224475 AB - 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 Based on the authors' recently published and previously unpublished results, this book introduces a new approach based on network analysis to integrate big data into the framework of ordinary and partial differential equations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. -- ǂc Provided by publisher. ER -