Data Mining Witten
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15 novembre 2024
Morgan Kaufmann
Data Mining: Practical Machine Learning Tools and Techniques
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Morgan Kaufmann
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (The Morgan Kaufmann Series in Data Management Systems) (English Edition)
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Morgan Kaufmann
Data Mining:: Practical Machine Learning Tools and Techniques (The Morgan Kaufmann Series in Data Management Systems) (English Edition)
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Morgan Kaufmann
Data Mining: Know It All (English Edition)
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ELSEVIER INDIA
DATA MINING, 4TH EDITION
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Morgan Kaufmann Publishers In
Data Mining: Practical Machine Learning Tools and Techniques
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Morgan Kaufmann Pub
Data Mining: Practical Machine Learning Tools and Techniques With Java Implementations: Pratical Machine Learning Tools and Techniques with java Implementations
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#7
MedTechBiz
Data Mining & KI : Konzepte, Grundlagen und Anwendungen (German Edition)
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#8
Springer
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
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This book presents some of the most important modeling and prediction techniques, along with relevant applications
Topics include linear regression, classification, re-sampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented.
Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform
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Springer
An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics) (English Edition)
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