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£111.77

Chapman and Hall/CRC Multivariate Statistics: Classical Foundations and Modern ML

Name: Multivariate Statistics: Classical Foundations and Modern ML
Brand: Chapman and Hall/CRC
Price: 111.77 GBP
Availability: InStock

Higher Education

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Description

Expand your mathematical knowledge with Multivariate Statistics: Classical Foundations and Modern Machine Learning. Published by Chapman and Hall/CRC, this book serves as a comprehensive resource for those studying the intersection of statistical methods and modern computational techniques. This text is designed for students and professionals within the engineering, technology, and higher education sectors. It provides a structured approach to understanding multivariate data, bridging the gap between traditional statistical foundations and contemporary machine learning applications. Whether you are pursuing advanced studies in science and mathematics or applying these concepts to technical engineering problems, this volume offers the academic depth required for higher education success. By integrating classical theories with modern approaches, this book helps readers build a strong conceptual framework for data analysis. It is an essential addition to any academic library focused on science, nature, and mathematics.

Key Features

Covers both classical statistical foundations and modern machine learning methods.

Published by Chapman and Hall/CRC for academic and professional reliability.

Designed for higher education students in science, nature, and mathematics.

Supports advanced learning in engineering and technology disciplines.

Provides a comprehensive look at multivariate data analysis techniques.

Product Specifications

Brand: Chapman and Hall/CRC
Format: hardcover
ASIN: 1032758791
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Education > Higher Education
Domain: Amazon UK
Release Date: 30 March 2025
Listed Since: 14 September 2024

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Chapman and Hall/CRC Multivariate Statistics: Classical Foundations and Modern ML

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