Data Mining and Machine Learning : Fundamental Concepts and Algorithms / Mohammed J. Zaki & Wagner Meira Jr.
Publication details: CUP : New York , ©2020.Edition: 2nd edDescription: xii, 766pISBN:- 9781108473989
- 006.3Â ZakD
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Indian Institute of Technology Tirupati General Stacks | Physics | 006.3 ZakD (12208) (Browse shelf(Opens below)) | Available | 12208 |
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| 005.8 RebR (12097) Regulating Cyber Technologies : Privacy vs Security / | 005.82 KolA (12214) Applied Quantum Cryptography / | 005.824 GraQ Quantum Cryptography : From Key Distribution to Conference Key Agreement / | 006.3 ZakD (12208) Data Mining and Machine Learning : Fundamental Concepts and Algorithms / | 006.3843 FlaQ (12207) Quantum Computing : From Alice to Bob / | 303.483 SmiH How the World Really Works : A Scientist's Guide to Our Past, Present and Future / | 333.7909 SmiE Energy and Civilization : A History / |
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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