Machine learning : the basics

By:

Jung, Alexander

Material type: Text

TextSeries: Machine Learning : Foundations, Methodologies, and ApplicationsPublication details: Singapore: Springer Nature, 2022.Description: xvii, 212pISBN:

9789811681929

Subject(s):

DDC classification:

006.31 JUN JUN

Summary: Machine learning (ML) has become a commonplace element in our everyday lives and a standard tool for many fields of science and engineering. To make optimal use of ML, it is essential to understand its underlying principles. This book approaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting a model of a given data-generating phenomenon by minimizing some form of loss incurred by its predictions.

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Holdings
Item type	Current library	Call number	Status	Barcode
Book	International Management Institute New Delhi General stacks	006.31 JUN (Browse shelf(Opens below))	Available	22154

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Previous	006.3 RUS Artificial intelligence : a modern approach	006.3 YAN Artificial intelligence and games	006.303 ENC Encyclopedia of artificial intelligence : the past, present, and future of AI	006.31 JUN Machine learning : the basics	006.31 SON Automated machine learning in action	006.31 TEO Artificial intelligence with python	006.312 AGG Machine learning for text	Next

Includes bibliographical references and index.

Machine learning (ML) has become a commonplace element in our everyday lives and a standard tool for many fields of science and engineering. To make optimal use of ML, it is essential to understand its underlying principles.
This book approaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting a model of a given data-generating phenomenon by minimizing some form of loss incurred by its predictions.

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