£125.26

Morgan Kaufmann - Mathematical Modeling for Big Data Analytics

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Description

Expand your technical knowledge with Mathematical Modeling for Big Data Analytics, published by Morgan Kaufmann. This book serves as a specialized resource for those studying the intersection of mathematics and large-scale data science. Categorized under economics and econometrics, it provides a foundation for understanding the mathematical frameworks used in modern data analysis. Whether you are a student or a professional working in business, finance, or law, this text offers a structured approach to the complex concepts required for big data environments. It is designed to help readers navigate the mathematical requirements of data-driven decision making. By focusing on modeling techniques, this publication helps bridge the gap between theoretical mathematics and practical big data applications.

Key Features

Published by Morgan Kaufmann, a recognized name in technical and professional literature.

Focuses on mathematical modeling specifically tailored for big data analytics environments.

Provides relevant content for readers interested in econometrics and economic data analysis.

Designed for academic and professional use in fields like business, finance, and law.

Offers a structured way to learn the mathematical foundations of data science.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
28 November 2025
Listed Since
22 May 2024

Barcode

No barcode data available

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