Machine Learning Fundamentals: Concepts, Models, and Applications - Tapa blanda

Sahay, Dr Amar; Sahay, Dr Rajeev

 
9781637427484: Machine Learning Fundamentals: Concepts, Models, and Applications
Tapa blanda
ISBN 10: 1637427484 ISBN 13: 9781637427484
Editorial: Business Expert Press, 2025

Sinopsis

Machine Learning Fundamentals provides a comprehensive overview of data science, emphasizing machine learning (ML). This book covers ML fundamentals, processes, and applications, that are used as industry standards. Both supervised and unsupervised learning ML models are discussed.

Topics include data collection and feature engineering techniques as well as regression, classification, neural networks (deep learning), and clustering. Motivated by the success of ML in various fields, this book is designed for a wide audience coming from various disciplines such as engineering, IT, or business and is suitable for those getting started with ML for the first time.

This text can also serve as the main or supplementary text in any introductory data science course from any discipline, offering real-world applications and tools in all areas.

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Acerca del autor

Dr. Amar Sahay is a professor engaged in teaching, research, consulting, and training. He has a BS in production engineering (BIT, India), MS in industrial engineering and a PhD in mechanical engineering from University of Utah. He has taught/teaching at several Utah institutions including the University of Utah (school of engineering/ management), Weber State University, SLCC, Westminster College, and others. Amar is a Six Sigma Master Black Belt and certified in lean manufacturing. He has over 30 research papers in various conferences. Amar is the author of 11 books and is a senior member of Industrial & Systems Engineers, American Society for Quality, and Data Science Central.

Dr. Rajeev Sahay is an Assistant Teaching Professor in the Department of Electrical and Computer Engineering at the University of California, San Diego. He earned his PhD in Electrical and Computer Engineering in December 2022 from Purdue University. Dr. Sahay has extensive teaching experience in machine learning, data science, and programming languages in C, C++, and Python. His research interests lie in the intersection of machine learning and networking, particularly in their applications for educational data and wireless communications.

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Editorial
Business Expert Press
Año de publicación
2025
Idioma
Inglés
ISBN 10 
1637427484
ISBN 13 
9781637427484
Encuadernación
Tapa blanda
Número de páginas
264
Contacto del fabricante
no disponible
Persona responsable
gpsr@libri.de
gpsr@libri.de

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