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The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.
The fundamental algorithms in data mining and analysis form the basis for the emerging field of data science, which includes automated methods to analyze patterns and models for all kinds of data, with applications ranging from scientific discovery to business intelligence and analytics. This textbook for senior undergraduate and graduate data mining courses provides a broad yet in-depth overview of data mining, integrating related concepts from machine learning and statistics. The main parts of the book include exploratory data analysis, pattern mining, clustering, and classification. The book lays the basic foundations of these tasks, and also covers cutting-edge topics such as kernel methods, high-dimensional data analysis, and complex graphs and networks. With its comprehensive coverage, algorithmic perspective, and wealth of examples, this book offers solid guidance in data mining for students, researchers, and practitioners alike. Key features: ??? Covers both core methods and cutting-edge research ??? Algorithmic approach with open-source implementations ??? Minimal prerequisites: all key mathematical concepts are presented, as is the intuition behind the formulas ??? Short, self-contained chapters with class-tested examples and exercises allow for flexibility in designing a course and for easy reference ??? Supplementary website with lecture slides, videos, project ideas, and more.
This book was envisioned by teachers and was developed to aid students, residents, nurses, and practitioners who care for children in the recognition and diagnosis of pediatric disorders Our goal is to broaden the visual experience of the student and the clinician through rapid visual examination or review of simple laboratory tests and imaging studies.
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