Machine Learning (McGraw-Hill International Editions Computer Science Series)

This book provides a comprehensive overview of the field of machine learning, defined as the study of algorithms that enable computer programs to automatically improve through experience. It explores the fundamental concepts and techniques that underpin this rapidly evolving discipline, focusing on how computational systems can learn from data to make predictions or decisions without being explicitly programmed for every specific task. The text serves as a foundational resource for understanding the core principles that drive modern artificial intelligence applications. Designed specifically for an academic setting, the material is tailored to support upper-level undergraduate and introductory-level graduate courses in machine learning. It offers a structured approach to the subject, making complex algorithmic concepts accessible to students transitioning into advanced computer science studies. By balancing theoretical frameworks with practical understanding, the book aims to equip learners with the necessary knowledge to analyze and implement learning algorithms effectively.