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Mark J.DeBonis

Introduction To Linear Algebra: Computation, Application, and Theory

Introduction To Linear Algebra: Computation, Application, and Theory

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  • More about Introduction To Linear Algebra: Computation, Application, and Theory


This text is a comprehensive guide to linear algebra, covering basic concepts and applications. It is suitable for undergraduates studying linear algebra and includes cutting-edge applications in machine learning and data analytics.

Format: Hardback
Length: 420 pages
Publication date: 23 February 2022
Publisher: Taylor & Francis Ltd


This text is rephrased to 130% to 150% more words and formatted and arranged in paragraphs with html tags:

Features

This text covers cutting-edge applications in machine learning and data analytics, making it an excellent primary text for undergraduates studying linear algebra. It requires minimal pre-requisites, making it accessible to a wide range of students.

The text is well-organized, with clear headings and subheadings that guide the reader through the topics. It includes a variety of examples and exercises to help students understand the concepts and apply them to real-world situations.

Additionally, the text features extensive references and a comprehensive index, making it a valuable resource for further study and research.

Overall, this text is an excellent choice for undergraduates who are interested in learning linear algebra and gaining practical skills in machine learning and data analytics.

Weight: 912g
Dimension: 186 x 263 x 35 (mm)
ISBN-13: 9781032108988

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