E-Book, Englisch, 275 Seiten, eBook
Ertugrul / Ertugrul / Guerrero Shallow Learning vs. Deep Learning
1. Auflage 2024
ISBN: 978-3-031-69499-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
A Practical Guide for Machine Learning Solutions
E-Book, Englisch, 275 Seiten, eBook
Reihe: The Springer Series in Applied Machine Learning
ISBN: 978-3-031-69499-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book explores the ongoing debate between shallow and deep learning in the field of machine learning. It provides a comprehensive survey of machine learning methods, from shallow learning to deep learning, and examines their applications across various domains. emphasizes that the choice of a machine learning approach should be informed by the specific characteristics of the dataset, the operational environment, and the unique requirements of each application, rather than being influenced by prevailing trends.
In each chapter, the book delves into different application areas, such as engineering, real-world scenarios, social applications, image processing, biomedical applications, anomaly detection, natural language processing, speech recognition, recommendation systems, autonomous systems, and smart grid applications. By comparing and contrasting the effectiveness of shallow and deep learning in these areas, the book provides a framework for thoughtful selection and application of machine learning strategies. This guide is designed for researchers, practitioners, and students who seek to deepen their understanding of when and how to apply different machine learning techniques effectively. Through comparative studies and detailed analyses, readers will gain valuable insights to make informed decisions in their respective fields.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Weitere Infos & Material
Survey of machine learning methods from shallow learning to deep learning.- Shallow learning vs Deep learning in engineering applications.- Shallow learning vs Deep learning in real-world applications.- Shallow learning vs Deep learning in social applications.- Shallow learning vs Deep learning in image processing applications.- Shallow learning vs Deep learning in biomedical applications.- Shallow learning vs Deep learning in anomaly detection applications.- Shallow learning vs Deep learning in natural language processing applications.- Shallow learning vs Deep learning in speech recognition applications.- Shallow learning vs Deep learning in recommendation systems.- Shallow learning vs Deep learning in autonomous systems.- Shallow Learning vs Deep Learning in Smart Grid Applications.
