Machine Learning and Artificial Intelligence

The updated version of this well-liked professional book on artificial intelligence (ML) and machine learning (ML) is intended for classroom or training use. It provides a thorough treatment of the theory and applications of combined AI and ML, integrating both perspectives to provide a holistic understanding. The book is divided into five parts, with each chapter including exercises to help the reader apply the knowledge to real-life problems. It is suitable for students, researchers, and professionals and can be customized to suit the needs of an AI/ML course.

Format: Hardback
Length: 271 pages
Publication date: 17 December 2022
Publisher: Springer International Publishing AG

The revised edition of this widely acclaimed professional book on artificial intelligence (ML) and machine learning (ML) is now tailored for classroom or training purposes. This comprehensive edition offers a thorough exploration of the intersection of AI and ML theory and applications, providing a holistic understanding of the field. Rather than adopting a purely theoretical or purely practical approach, the book seamlessly integrates both perspectives to offer a comprehensive viewpoint.

In the first part, the book introduces the concepts of AI and ML, tracing their origins and current state. It delves into the foundational principles and frameworks that underpin these technologies. The second and third parts delve into the conceptual and theoretic aspects of static and dynamic ML techniques, providing a deep understanding of the underlying algorithms and methodologies.

The fourth part showcases practical applications where the presented techniques can be applied, offering real-world scenarios and case studies. The fifth part introduces the reader to some of the implementation strategies for solving real-life ML problems. Each chapter is accompanied by a set of exercises designed to help the reader/student apply the learnings from the chapter to a real-life problem. Completing these exercises will reinforce the concepts learned and enhance their understanding.

This book is an invaluable resource for students in graduate and upper undergraduate courses, as well as researchers and professionals seeking to expand their knowledge in AI and ML. It employs a minimal use of mathematics to make the topics more intuitive and accessible, making it suitable for a wide range of audiences. The book covers a vast array of topics within the AI and ML domain, allowing professors to tailor courses based on its content by selecting and re-organizing the sequence of chapters to suit their specific needs.

In conclusion, the revised edition of this professional book on AI and ML is an essential resource for anyone seeking to gain a comprehensive understanding of these rapidly evolving technologies. Its holistic approach, comprehensive coverage, and practical applications make it an invaluable tool for students, researchers, and professionals alike.

Weight: 612g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031122811
Edition number: 2nd ed. 2023