دانلود کتاب Introduction to Machine Learning with Security 2024

Introduction to Machine Learning with Applications in Information Security by Mark Stamp is a comprehensive guide that explores a wide array of machine learning and deep learning algorithms, emphasizing their practical applications in the field of information security.

The book is designed to be accessible, focusing on intuitive explanations rather than heavy mathematical theory, making it suitable for readers with a modest programming background. It delves into core machine learning topics such as Hidden Markov Models, Support Vector Machines, and clustering, providing in-depth coverage of each.

Additionally, the text examines advanced deep learning architectures, including Convolutional Neural Networks and Recurrent Neural Networks, and discusses cutting-edge topics like dropout regularization and adversarial attacks. Realistic examples, particularly in malware analysis, are utilized throughout to demystify complex concepts and demonstrate the practical utility of machine learning techniques in enhancing information security¹.