Data Science

Data Science, SIAM’s newest book series, covers the mathematical, computational, and scientific aspects of data science. The series will publish high-impact research monographs, in-depth essays on emerging trends, tutorials with a broad reach, state-of-the-art surveys, scholarly research retrospectives, and textbooks.

Click here to submit a proposal

 

 

Editor-in-Chief
Ilse Ipsen
North Carolina State University

Acquisitions Editors
Paula Callaghan
Elizabeth Greenspan

 

Editorial Board

Amy Braverman
Jet Propulsion Laboratory

Haesun Park
Georgia Institute of Technology

Baoquan Chen
Peking University

Ali Rahimi
Google

Amr El-Bakry
ExxonMobil Upstream Research

David P. Woodruff
Carnegie Mellon University

Nicholas J. Higham
University of Manchester

Hua Zhou
University of California, Los Angeles

Michael Mahoney
University of California at Berkeley

 

Click here to view books


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