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.
This book provides an introduction to machine learning and cloud computing, both 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.
Pramod Gupta
Machine Learning textbook Cloud computing textbook Pattern Recognition and Machine Learning Deep Learning and cloud computing Artificial Intelligence and Information Security
“Considering the technical content, the authors’ prose and presentation style is conversational and easy to follow. There is a useful and extensive glossary at the book’s conclusion, which will also be helpful to readers new to the subject matter. … Overall, the book represents a valuable resource for students and practitioners who need a well-organized and somewhat in-depth overview of how machine learning can be performed using existing cloud resources.” (Harry J. Foxwell, Computing Reviews, February 24, 2022)
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