Machine learning fundamentals: concepts, models, and applications

By:

Sahay, Rajeev

Contributor(s):

Sahay, Amar

Material type: Text

TextPublication details: New York Business Expert Press 2025Description: xviii, 243 pISBN:

9781637427484

Subject(s):

DDC classification:

006.31 SAH

Summary: 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. (https://www.businessexpertpress.com/books/machine-learning-fundamentals-concepts-models-and-applications/)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	006.31 SAH (Browse shelf(Opens below))	1	Available		009223

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.

(https://www.businessexpertpress.com/books/machine-learning-fundamentals-concepts-models-and-applications/)

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