Applied Machine Learning - From Cyber Security to Medical Diagnosis

By Zam AB

This book is designed as a practical and application-oriented introduction to machine learning, with a strong focus on real-world domains such as financial fraud detection, medical diagnosis, and customer analytics. Rather than presenting machine learning only through theory, the book emphasizes hands-on learning, real datasets, and practical scenarios that allow readers to understand how machine learning techniques are implemented in real environments.
The chapters are structured in a progressive manner so that readers can move from foundational concepts to more advanced applications and practical implementations. Each chapter combines conceptual explanations, diagrams, case studies, and Python-based exercises so that readers can develop both theoretical understanding and practical skills.
The book currently consists of nine chapters, each designed to address a specific aspect of machine learning and its applications.

• Format: Paperback
• Language: English
• ISBN: B0GV7Q9QCY
• ISBN13: 9798253936283
• Release Date: March 2026
• Publisher: Independently Published
• Length: 390 Pages
• Weight: 1.15 lbs.
• Dimensions: 0.9" x 6.0" x 9.0"