Description: 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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EAN: 9781108473989
UPC: 9781108473989
ISBN: 9781108473989
MPN: N/A
Book Title: Data Mining and Machine Learning: Fundamental Conc
Item Length: 25.2 cm
Number of Pages: 776 Pages
Language: English
Publication Name: Data Mining and Machine Learning: Fundamental concepts and Algorithms
Publisher: Cambridge University Press
Publication Year: 2020
Subject: Computer Science, Management
Item Height: 257 mm
Item Weight: 1600 g
Type: Textbook
Author: Mohammed J. Zaki, Wagner Meira, Jr
Item Width: 185 mm
Format: Hardcover
