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Introduction to Machine Learning in the Cloud with Python : Concepts and Practices / by Pramod Gupta, Naresh K. Sehgal

By: Gupta, Pramod, autor
Contributor(s): Sehgal, Naresh Kumar, autor
Material type: materialTypeLabelE-bookSeries: (Engineering (SpringerNature-11647)); (Engineering (R0) (SpringerNature-43712)).Publisher: Cham : Springer International Publishing, 2021Edition: First edition 2021.Description: 1 recurso en línea (XIX, 284 páginas) : 158 ilustraciones, 146 ilustraciones a color.ISBN: 9783030712709.Subject: Aprendizaje automático | Informática en la nube | Python (Lenguaje de programación)Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Introduction to Machine Learning -- Foundations of Machine Learning -- Deep Learning and cloud computing -- Cloud Computing Concepts -- Practical Aspects in Machine Learning -- Artificial Intelligence and Information Security -- Examples of Analytics in the Cloud -- A case study of Data Collection and Analytics in the Cloud -- Future trends in Hardware based AI and ML.
Abstract: This book provides an introduction to machine learning and cloud computing, both from conceptual and practical levels, along with their usage with a Public Cloud infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and security considerations, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and several case studies. Provides broad coverage of AI, Machine Learning and Cloud Computing; Uses real examples and case studies to demonstrate key topics; Demonstrates concepts, as well as practical usage.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería Q325.5 2021 EB (Browse shelf(Opens below)) Acceso electrónico eBook.11012250
Total holds: 0

Introduction to Machine Learning -- Foundations of Machine Learning -- Deep Learning and cloud computing -- Cloud Computing Concepts -- Practical Aspects in Machine Learning -- Artificial Intelligence and Information Security -- Examples of Analytics in the Cloud -- A case study of Data Collection and Analytics in the Cloud -- Future trends in Hardware based AI and ML.

This book provides an introduction to machine learning and cloud computing, both from conceptual and practical levels, along with their usage with a Public Cloud infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and security considerations, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and several case studies. Provides broad coverage of AI, Machine Learning and Cloud Computing; Uses real examples and case studies to demonstrate key topics; Demonstrates concepts, as well as practical usage.

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