Smart Python for Machine Learning and Intelligent Modeling : Foundations and Classical Machine Learning | Part 1

Language: English

Published by LAP LAMBERT Academic Publishing, 2026

6630107268 / 9786630107265

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - This book introduces the fundamental principles of machine learning and intelligent modeling through practical Python implementations and real-world examples. It begins by establishing the foundations of smart systems, learning paradigms, evaluation metrics, and model validation before progressing to classical supervised and unsupervised machine learning algorithms. Readers are guided through linear regression, logistic regression, k-nearest neighbors, support vector machines, decision trees, ensemble learning, clustering techniques, and principal component analysis, with an emphasis on both the underlying mathematical concepts and their practical implementation using Python. Each chapter combines theoretical background, methodology, implementation, experimental evaluation, and discussion to provide a comprehensive learning experience. Intended for undergraduate and graduate students, researchers, and practitioners, this volume serves as both an academic textbook and a practical reference for developing reliable, interpretable, and data-driven intelligent systems using modern machine learning techniques.…

Seller Inventory # 9786630107265

Title
Smart Python for Machine Learning and Intelligent Modeling : Foundations and Classical Machine Learning | Part 1
Author
Alexander I. Iliev
Publisher
LAP LAMBERT Academic Publishing
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6630107268
ISBN 13
9786630107265
Item weight
489 grams
Dimensions
220x150x19 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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