Machine Learning Fundamentals : Concepts, Models, and Applications
Language: English
Published by Business Expert Press, 2025
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 84.02
Quantity: 2 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
Seller Inventory # 9781637427484
- Title
- Machine Learning Fundamentals : Concepts, Models, and Applications
- Author
- Rajeev Sahay
- Publisher
- Business Expert Press
- Publication year
- 2025
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1637427484
- ISBN 13
- 9781637427484
- Item weight
- 388 grams
- Dimensions
- 229x152x14 mm
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.
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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