Data science for mathematicians. (2020)

• Record Type: Book
• Further Information: Note: Edited by Nathan Carter.
• Editors: Carter, Nathan C
• Contents: Contents Chapter 1 Introduction 1; Chapter 2 Programming with Data; Chapter 3 Linear Algebra; Chapter 4 Basic Statistics; Chapter 5 Clustering; Chapter 6 Operations Research; Chapter 7 Dimensionality Reduction; Chapter 8 Machine Learning; Chapter 9 Deep Learning; Chapter 10 Topological Data Analysis; Bibliography
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2020
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 515; Mathematical analysis; Mathematical statistics; Data mining; Big data -- Mathematics
• Languages: English
• ISBNs: 9780429675676; 9780429675683; 9780429675669; 9780429398292
• Related ISBNs: 9780367027056
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.