Название: Introduction to Machine Learning with Security: Theory and Practice Using Python in the Cloud, 2nd EditionАвтор: Pramod Gupta, Naresh Kumar Sehgal, John M. Acken
Издательство: Springer
Год: 2025
Страниц: 509
Язык: английский
Формат: pdf (true)
Размер: 16.6 MB
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. The authors of this book have leveraged their hands-on experience with solving real-world problems using Python and the Machine Learning ecosystem to help the readers gain solid knowledge needed to apply essential concepts, methodologies, tools, and techniques for solving their own real-world problems. The book aims to cater to readers with varying skill levels ranging from beginners to experts and enable them in structuring and building practical Machine Learning and AI solutions. This book is appropriate for both advanced undergraduate or master’s students who want to work in this domain, or for individuals working in the area of Machine Learning.
