Machine Learning for Cyber Threat Detection: A Technical Guide for Students & Professionals

<p>In an era of ever-evolving cyber threats traditional defenses are no longer enough. Machine Learning for Cyber Threat Detection offers a transformative guide into how AI-driven technologies are reshaping the cybersecurity landscape.</p><p>Curated and edited by <b>Dr. Sanjay Aga</b>l a recognized academic leader with over 16 years of experience in AI cybersecurity and data science this book bridges the gap between foundational theory and real-world application. It provides students professionals and researchers with actionable insights into supervised and unsupervised learning anomaly detection malware analysis phishing prevention and securing IoT ecosystems.</p><p>Through practical case studies cutting-edge methodologies and expert commentary readers will learn how machine learning models can predict detect and neutralize cyber threats in real time. Each chapter unfolds with clarity offering step-by-step guidance that builds critical skills for the future of digital defense.</p><p>Whether you're beginning your journey in cybersecurity or looking to sharpen your expertise this guide will empower you to think beyond conventional security models &mdash; and be prepared for the next generation of cyber challenges.</p>