Binding: Paperback
Description: 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 Based on the authors recently published and previously unpublished results this book introduces a new approach based on network analysis to integrate big data into the framework of ordinary and partial differential equations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 data analysis 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.
Title: Mathematical Methods In Data Science
Author(s): Wang Haiyan (Arizona State University Usa)
Publisher: Elsevier - Health Sciences Division
Barcode: 9780443186790
Pages: 258 Pages
Publication Date: 1/11/2023
Category: Data Capture & Analysis