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Machine Learning: The Basics
Paperback
Series: Machine Learning: Foundations, Methodologies, and Applications
ISBN13: 9789811681950
Publisher: Springer Nature
Published: Jan 23 2023
Pages: 212
Weight: 0.73
Height: 0.49 Width: 6.14 Depth: 9.21
Language: English
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.
The book's three-component approach to ML provides uniform coverage of a wide range of concepts and techniques. As a case in point, techniques for regularization, privacy-preservation as well as explainability amount to specific design choices for the model, data, and loss of a ML method.
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