Data Mining and Machine Learning: Fundamental Concepts and Algorithms
Mohammed J. Zaki, Wagner Meira Jr你有多喜欢这本书?
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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.
种类:
年:
2020
出版:
2
出版社:
Cambridge University Press
语言:
english
页:
776
ISBN 10:
1108473989
ISBN 13:
9781108473989
文件:
PDF, 52.07 MB
您的标签:
IPFS:
CID , CID Blake2b
english, 2020
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