Data Mining and Machine Learning Fundamental Concepts and Algorithms

Author: Hagendorf, Col
Availability: In stock
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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.

Publisher Name Cambridge University Press
Author Name Hagendorf, Col
Format Audio
Bisac Subject Major COM
Language NG
Isbn 10 1108473989
Isbn 13 9781108473989
Target Age Group min:NA, max:NA
Dimensions 00.99" H x 00.06" L x 80.00" W
Page Count 776

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