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portada Data Mining and Machine Learning: Fundamental Concepts and Algorithms
Type
Physical Book
Author
Publisher
Year
2020
Language
English
Pages
775
Format
Hardcover
Dimensions
25.1 x 17.3 x 4.6 cm
Weight
1.56 kg.
ISBN13
9781108473989
Edition No.
0002
Categories

Data Mining and Machine Learning: Fundamental Concepts and Algorithms

Mohammed J. Zaki (Author) · Wagner Meira Jr (Author) · Cambridge University Press · Hardcover

Data Mining and Machine Learning: Fundamental Concepts and Algorithms - Zaki, Mohammed J. ; Meira Jr, Wagner

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Synopsis "Data Mining and Machine Learning: Fundamental Concepts and Algorithms "

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.

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