Entrepreneurial Complexity: Methods and Applications
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Entrepreneurial Complexity: Methods and Applications
Book Details
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Author: Matthias Dehmer
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Publisher: CRC Press
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Language: English
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Edition: 1
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ISBN: 9780815370017
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Pages: 179
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Cover: Hardcover
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Dimensions: 9.5 x 6.4 x 0.6 inches
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Format: Hardcover
About The Book
Mathematics for Data Science by Matthias Dehmer provides a comprehensive and accessible introduction to the mathematical concepts used in data science. Aimed at both students and professionals, this book bridges the gap between theory and practical application, offering insights into the essential mathematical foundations necessary for understanding data-driven techniques.
Dehmer explores key concepts such as:
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Graph theory
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Network analysis
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Matrix and tensor operations
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Mathematical modeling and optimization
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Algorithms and their mathematical underpinnings
With clear explanations, 14 tables, and 21 illustrations, this book provides a balanced approach to the complex mathematical concepts used in data science, making it a valuable resource for anyone seeking to understand the mathematical techniques that drive data analysis, machine learning, and computational data science.
Whether you're a student, researcher, or professional in data science, Mathematics for Data Science is an essential guide for building a solid mathematical foundation for tackling real-world data challenges.
