Price: $49.99
(as of Dec 02,2024 09:21:03 UTC – Details)

ASIN ‏ : ‎ B0D34TMSJP
Publisher ‏ : ‎ Springer; 2nd edition (July 12, 2024)
Publication date ‏ : ‎ July 12, 2024
Language ‏ : ‎ English
File size ‏ : ‎ 97074 KB
Text-to-Speech ‏ : ‎ Enabled
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 767 pages

Introduction to Machine Learning with Security: Theory and Practice Using Python in the Cloud (Synthesis Lectures on Engineering, Science, and Technology)

Machine learning has become an essential tool in the field of cybersecurity, with the ability to detect and prevent threats in real-time. In this post, we will explore the theory and practice of using machine learning for security purposes, specifically focusing on Python programming language and cloud computing.

The book “Introduction to Machine Learning with Security: Theory and Practice Using Python in the Cloud” provides a comprehensive overview of the latest developments in machine learning and its applications in cybersecurity. Written by experts in the field, this book covers the fundamentals of machine learning, security principles, and practical applications using Python programming language.

This book is designed for both beginners and experienced professionals in the field of cybersecurity who are looking to enhance their knowledge and skills in machine learning. The hands-on approach of the book allows readers to learn and implement machine learning algorithms for security purposes in the cloud environment.

Whether you are a cybersecurity professional, a data scientist, or a student looking to delve into the world of machine learning and security, this book is a valuable resource that will help you stay ahead in this rapidly evolving field. So, grab a copy of “Introduction to Machine Learning with Security: Theory and Practice Using Python in the Cloud” and embark on a journey to explore the exciting intersection of machine learning and cybersecurity.
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