Introduction to machine learning with security: theory and practice using python in the cloud

Contributor(s):

Material type: Text

TextSeries: Synthesis Lectures on Engineering, Science, and Technology (SLEST)Publication details: Cham Springer 2025Edition: 2ndDescription: xxviii, 492 pISBN:

9783031591716

Subject(s):

DDC classification:

006.31 GUP

Summary: This book provides an introduction to machine learning, security and cloud computing, from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and high security, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and case studies. (https://link.springer.com/book/10.1007/978-3-031-59170-9)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	006.31 GUP (Browse shelf(Opens below))	1	Available		009080

Table of contents:
Front Matter
Pages i-xxviii
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Theory
Front Matter
Pages 1-1
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Machine Learning Concepts
Pramod Gupta, Naresh Kumar Sehgal, John M. Acken
Pages 3-44
Machine Learning Algorithms
Pramod Gupta, Naresh Kumar Sehgal, John M. Acken
Pages 45-176
Deep Learning and Cloud Computing
Pramod Gupta, Naresh Kumar Sehgal, John M. Acken
Pages 177-199
Cloud Computing Concepts
Pramod Gupta, Naresh Kumar Sehgal, John M. Acken
Pages 201-214
Information Security and Cloud Computing
Pramod Gupta, Naresh Kumar Sehgal, John M. Acken
Pages 215-228
Trust and Security in a Cloud Environment
Pramod Gupta, Naresh Kumar Sehgal, John M. Acken
Pages 229-246
Hardware Based AI and ML
Pramod Gupta, Naresh Kumar Sehgal, John M. Acken
Pages 247-270
Hardware Based Security
Pramod Gupta, Naresh Kumar Sehgal, John M. Acken
Pages 271-277
Practices
Front Matter
Pages 279-279
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Practical Aspects in Machine Learning
Pramod Gupta, Naresh Kumar Sehgal, John M. Acken
Pages 281-330
Analytics in the Cloud
Pramod Gupta, Naresh Kumar Sehgal, John M. Acken
Pages 331-350
Healthcare in the Cloud: A Few Case Studies
Pramod Gupta, Naresh Kumar Sehgal, John M. Acken
Pages 351-370
Evolution and Risks of LLMs
Pramod Gupta, Naresh Kumar Sehgal, John M. Acken
Pages 371-379
Machine Learning Operations
Pramod Gupta, Naresh Kumar Sehgal, John M. Acken
Pages 381-413

[https://link.springer.com/book/10.1007/978-3-031-59170-9]

This book provides an introduction to machine learning, security and cloud computing, from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and high security, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and case studies.

(https://link.springer.com/book/10.1007/978-3-031-59170-9)

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