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Introduction to machine learning in ...

Gupta, Pramod.

Introduction to machine learning in the cloud with Pythonconcepts and practices /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Introduction to machine learning in the cloud with Pythonby Pramod Gupta, Naresh K. Sehgal.
Reminder of title:	concepts and practices /
Author:	Gupta, Pramod.
other author:	Sehgal, Naresh K.
Published:	Cham :Springer International Publishing :2021.
Description:	xix, 284 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learning.
Online resource:	https://doi.org/10.1007/978-3-030-71270-9
ISBN:	9783030712709$q(electronic bk.)

Introduction to machine learning in the cloud with Pythonconcepts and practices /
Gupta, Pramod.

Introduction to machine learning in the cloud with Pythonconcepts and practices /[electronic resource] :by Pramod Gupta, Naresh K. Sehgal. - Cham :Springer International Publishing :2021. - xix, 284 p. :ill. (some col.), digital ;24 cm.

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.

ISBN: 9783030712709$q(electronic bk.)

Standard No.: 10.1007/978-3-030-71270-9doiSubjects--Topical Terms:

188639
Machine learning.

LC Class. No.: Q325.5 / .G878 2021

Dewey Class. No.: 006.31

Introduction to machine learning in the cloud with Pythonconcepts and practices /
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245 1 0 $a Introduction to machine learning in the cloud with Python $h [electronic resource] : $b concepts and practices / $c by Pramod Gupta, Naresh K. Sehgal.
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300 $a xix, 284 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a 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.
520 $a 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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