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Elsevier Mathematical Methods in Data Science - Book

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Description

Enhance your technical knowledge with Mathematical Methods in Data Science from Elsevier. This book serves as a specialized resource for those studying the mathematical foundations required for modern data analysis and computing. By focusing on the core principles used in the field, it provides a structured way to approach complex data problems. As part of the Elsevier collection, this title is designed for readers looking to strengthen their understanding of the mathematical concepts that drive database technology and data science applications. Whether you are a student or a professional, this book offers a focused look at the essential methods needed to navigate the world of computing and internet-based data systems. It is a valuable addition to any academic or professional library dedicated to the study of data science and technical computing.

Key Features

Published by Elsevier, a recognized name in academic and technical literature.

Focused on mathematical methods specifically for data science applications.

Categorized under Computing and Internet for easy subject identification.

Provides foundational knowledge for database and data science studies.

Designed for readers interested in the technical side of data management.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
11 January 2023
Listed Since
26 May 2022

Barcode

No barcode data available

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