Price: 58,31 €
(as of Nov 02, 2024 11:29:08 UTC – Details)
«Machine learning (ML) has become an everyday element in our lives and a standard tool for many areas of science and technology. To get the most out of ML, it is important to understand the underlying principles.”
In this book, ML is considered as the computational implementation of scientific principle. This principle involves continually adjusting a model of a given data-generating phenomenon by minimizing a form of loss that arises from its predictions.
The book empowers the reader to break down different ML applications and methods into three components (data, model, and loss), thereby helping them select from the wide range of ready-made ML methods.
The book's three-component approach allows for a consistent and transparent representation of various ML techniques. Important methods for regularization, privacy protection, and explainability of ML methods are special cases of this three-component approach.
Publisher : Springer-Verlag GmbH; 1. Aufl. 2024 edition (February 14, 2024)
Language : German
Hardcover : 252 pages
ISBN-10 : 9819979714
ISBN-13 : 978-9819979714
Product weight : 593 g
Dimensions: 16 x 1.9 x 24.1 cm
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