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.
| ISBN: | 9783031591693 |
| Publication date: | 13th July 2024 |
| Author: | Pramod Gupta, Naresh Kumar Sehgal, John M Acken |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Hardback |
| Pagination: | 492 pages |
| Series: | Synthesis Lectures on Engineering, Science, and Technology |
| Genres: |
Electronics engineering Cybernetics and systems theory Machine learning Cloud computing |
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.
Introduction to Machine Learning With Security features in the following genres: Electronics engineering, Cybernetics and systems theory, Machine learning, Cloud computing
Hardback. £40.49, down from the £44.99 cover price. Not Available.
Introduction to Machine Learning With Security was written by Pramod Gupta, Naresh Kumar Sehgal, John M Acken and published by Springer an imprint of Springer International Publishing
Introduction to Machine Learning With Security has 492 pages
Yes it is part of Synthesis Lectures on Engineering, Science, and Technology series
£40.49, reduced from £44.99. Not Available.