Data Mining and Machine Learning

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.