Central Library

Normal view MARC view ISBD view

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

By: Gupta, Pramod [author.].
Contributor(s): Sehgal, Naresh K [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021.Description: XIX, 284 p. 158 illus., 146 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030712709.Subject(s): Cooperating objects (Computer systems) | Machine learning | Cloud Computing | Cyber-Physical Systems | Machine Learning | Cloud ComputingAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.38 Online resources: Click here to access online
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.
In: Springer Nature eBookSummary: 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.
    average rating: 0.0 (0 votes)
No physical items for this record

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.

There are no comments for this item.

Log in to your account to post a comment.