Data Mining and Machine Learning Fundamental Concepts and Algorithms

Data Mining and Machine Learning: Fundamental Concepts and Algorithms by Mohammed J. Zaki, published by Cambridge University Press on January 30, 2020, is a comprehensive textbook designed for senior undergraduate and graduate courses. This edition, spanning 776 pages, provides an in-depth overview of the fundamental algorithms in data mining and machine learning, which are essential for analyzing patterns and models across various data applications, including scientific discovery and business analytics.

Readers will find a thorough exploration of data analysis, pattern mining, clustering, classification, and regression, with a strong emphasis on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. The second edition introduces a dedicated section on regression methods, encompassing neural networks and deep learning, making it a valuable resource for students, researchers, and practitioners in fields such as data science and artificial intelligence.