![]() This second edition includes a new part on regression with chapters on linear regression, logistic regression, neural networks, deep learning and regression assessment. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression. ![]() 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 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. ![]() New to this edition is an entire part devoted to regression and deep learning. The entire book is available to read online for free and the site includes video lectures and other resources.
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