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DATA MINING: ESSENTIAL MATH FOR AI
Data Mining - Essential Math for AI serves as a valuable reference for both beginners and experienced practitioners in the field. The book provides comprehensive coverage of the essential mathematical concepts required to excel in Data Mining and AI, making it a go-to resource for anyone seeking to enhance their mathematical knowledge and its application in real-world data analysis.
This book by Luke James is an intriguing book that delves into the fundamental mathematical concepts and techniques underlying the field of Data Mining in the context of Artificial Intelligence (AI). With a clear and engaging writing style, Luke James presents complex mathematical concepts in a way that is accessible to readers with varying levels of mathematical background. As an experienced author and expert in the field, Luke James takes the readers on a captivating journey through the essential mathematical foundations of Data Mining for AI. He begins by providing a comprehensive introduction to the fundamental concepts of mathematics that form the basis for understanding and applying Data Mining techniques effectively. The book covers a wide range of mathematical topics relevant to Data Mining, including statistics, linear algebra, calculus, probability theory, and optimization. Luke James presents these topics in a practical manner, emphasizing their direct applications in Data Mining algorithms, models, and analyses. He provides intuitive explanations, real-world examples, and hands-on exercises to reinforce the understanding of mathematical concepts and their relevance to AI-driven data analysis. One of the strengths of this book is its ability to bridge the gap between theory and practice. Luke James goes beyond the mathematical equations and formulas, illustrating how these mathematical concepts are applied to real-world data problems. He demonstrates how mathematical techniques such as regression, clustering, dimensionality reduction, and classification play a crucial role in uncovering patterns, making predictions, and gaining insights from large and complex datasets. Throughout the book, Luke James emphasizes the importance of a solid mathematical foundation for professionals and researchers in the field of Data Mining and AI. He highlights how a deep understanding of mathematical concepts enables practitioners to make informed decisions, choose appropriate algorithms, and optimize models for better performance.
This book by Luke James is an intriguing book that delves into the fundamental mathematical concepts and techniques underlying the field of Data Mining in the context of Artificial Intelligence (AI). With a clear and engaging writing style, Luke James presents complex mathematical concepts in a way that is accessible to readers with varying levels of mathematical background. As an experienced author and expert in the field, Luke James takes the readers on a captivating journey through the essential mathematical foundations of Data Mining for AI. He begins by providing a comprehensive introduction to the fundamental concepts of mathematics that form the basis for understanding and applying Data Mining techniques effectively. The book covers a wide range of mathematical topics relevant to Data Mining, including statistics, linear algebra, calculus, probability theory, and optimization. Luke James presents these topics in a practical manner, emphasizing their direct applications in Data Mining algorithms, models, and analyses. He provides intuitive explanations, real-world examples, and hands-on exercises to reinforce the understanding of mathematical concepts and their relevance to AI-driven data analysis. One of the strengths of this book is its ability to bridge the gap between theory and practice. Luke James goes beyond the mathematical equations and formulas, illustrating how these mathematical concepts are applied to real-world data problems. He demonstrates how mathematical techniques such as regression, clustering, dimensionality reduction, and classification play a crucial role in uncovering patterns, making predictions, and gaining insights from large and complex datasets. Throughout the book, Luke James emphasizes the importance of a solid mathematical foundation for professionals and researchers in the field of Data Mining and AI. He highlights how a deep understanding of mathematical concepts enables practitioners to make informed decisions, choose appropriate algorithms, and optimize models for better performance.
181 pages, Paperback
Published July 6, 2023
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