Top Artificial Intelligence (AI) Books to Read in 2025
Artificial Intelligence (AI) has made remarkable advancements in recent years, particularly with the rise of Large Language Models (LLMs). To stay informed on the latest trends and developments, reading about AI is essential. Below is a curated list of key AI books that business managers and AI enthusiasts should consider for 2025.
1. Deep Learning (Adaptive Computation and Machine Learning series)
This comprehensive book explores deep learning topics along with their mathematical foundations and industrial applications.
2. Python: Advanced Guide to Artificial Intelligence
This guide familiarizes readers with popular machine learning (ML) algorithms and delves into advanced AI concepts with a focus on practical implementation using Python.
3. Machine Learning (in Python and R) for Dummies
A beginner-friendly resource that explains the fundamentals of machine learning with practical examples in Python and R, making it an excellent starting point for newcomers.
4. Machine Learning for Beginners
This book provides a foundational understanding of machine learning systems, including their historical context and insights into how advanced algorithms function.
5. Artificial Intelligence: A Modern Approach
A widely recognized text that covers a broad range of AI topics such as problem-solving, knowledge representation, and natural language processing, incorporating both theory and practical examples.
6. Human Compatible: Artificial Intelligence and the Problem of Control
This book addresses the critical relationship between humans and machines, discussing potential conflicts and the implications of superhuman AI.
7. The Alignment Problem: Machine Learning and Human Values
This work explores the “Alignment Problem,” a situation where AI systems may not act as intended, raising ethical and existential concerns.
8. Life 3.0: Being Human in the Age of Artificial Intelligence
The author investigates the future landscape of AI and explores the balance needed to ensure that AI systems function safely and effectively.
9. The Coming Wave: Technology, Power, and the Twenty-First Century’s Greatest Dilemma
This book warns of the potential risks that emerging technologies can pose to global stability, focusing on robotics and large language models.
10. Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning
Offering a deep dive into the mathematical underpinnings of deep learning, this book provides a thorough understanding of neural networks and modern techniques.
11. Neural Networks and Deep Learning
This text addresses fundamental concepts of neural networks and deep learning, including relevant mathematical frameworks like linear algebra and probability theory.
12. Artificial Intelligence for Humans
This book simplifies AI algorithms with numeric examples aimed at readers without extensive mathematical backgrounds.
13. AI Superpowers: China, Silicon Valley, and the New World Order
The author sheds light on the unexpected consequences of AI evolution and the competitive dynamics between the USA and China in AI innovation.
14. Hello World: Being Human in the Age of Algorithms
Exploring the powers and limitations of algorithms, this book prepares readers for the moral uncertainties inherent in a code-driven world.
15. The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
This text discusses the concept of a “Master Algorithm” capable of integrating various learning approaches to transform industries.
16. Applied Artificial Intelligence: A Handbook for Business Leaders
This guide assists businesses in leveraging AI for innovation and growth, covering practical applications, ethical considerations, and team-building strategies.
17. Superintelligence: Paths, Dangers, Strategies
The author explores the implications of AI surpassing human intelligence, emphasizing the necessity for global collaboration to mitigate risks.
If you have any suggestions for additional books, please email us at asif@marktechpost.com.