Data Mining and Machine Learning: Fundamental Concepts and Algorithms: The Free eBook
The second edition of Data Mining and Machine Learning: Fundamental Concepts and Algorithms is available to read freely online, and includes a new part on regression with chapters on linear regression, logistic regression, neural networks, deep learning and regression assessment.
By Mohammed J. Zaki and Wagner Meira, Jr.
We are pleased to announce the second edition of our book Data Mining and Machine Learning: Fundamental Concepts and Algorithms, Second Edition, by Mohammed J. Zaki and Wagner Meira, Jr., published by Cambridge University Press, 2020.
The entire book is available to read online for free and the site includes video lectures and other resources.
New to this edition is an entire part devoted to regression and deep learning.
Description & Features:
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, indepth 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.
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 is selfcontained with key mathematical concepts and algorithms. It emphasizes the interplay between the geometric, algebraic and probabilistic views, building the key intuition behind the fundamental methods in data mining and machine learning.
Related:
 Foundations of Data Science: The Free eBook
 Understanding Machine Learning: The Free eBook
 An Introduction to Statistical Learning: The Free eBook
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