Here are the top 10 AI books that will teach you the basics in 2024

Artificial Intelligence (AI) has become an integral part of our daily lives, impacting industries, shaping economies, and influencing the way we interact with technology. Whether you're a newcomer curious about AI or a seasoned professional seeking to deepen your understanding, the right books can be invaluable resources. In 2024, these 10 AI books stand out as essential guides to grasp the basics and stay abreast of the latest developments.

1. "Artificial Intelligence: A Guide for Thinking Humans" by Melanie Mitchell:

Melanie Mitchell's book provides an accessible and insightful journey into the world of AI. Mitchell tries to demystify AI for a wide audience rather than going into technical specifics. She explores the history, challenges, and societal implications of AI, making it an ideal starting point for those new to the field.

2. "Life 3.0: Being Human in the Age of Artificial Intelligence" by Max Tegmark:

In "Life 3.0," Max Tegmark tackles the profound questions surrounding AI's impact on humanity. From the ethical considerations to the potential futures AI might usher in, Tegmark engages readers in contemplating the role of AI in shaping the destiny of our species. The book serves as a thought-provoking introduction to the philosophical aspects of artificial intelligence.

3. "Artificial Intelligence: Foundations of Computational Agents" by David L. Poole and Alan K. Mackworth:

For those looking to delve into the technical underpinnings of AI, "Artificial Intelligence: Foundations of Computational Agents" is a comprehensive textbook. This book, written by David L. Poole and Alan K. Mackworth, is appropriate for both novices and AI students since it presents basic ideas in an organised and understandable way.

4. "AI Superpowers: China, Silicon Valley, and the New World Order" by Kai-Fu Lee:

Kai-Fu Lee, a leading figure in the AI world, offers a unique perspective on the global AI landscape in "AI Superpowers." Focusing on the competition between China and Silicon Valley, Lee explores the economic and geopolitical implications of AI. The book provides valuable insights into the forces driving AI innovation and its potential impact on societies worldwide.

5. "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron:

For those eager to get their hands dirty with practical applications, Aurélien Géron's book is an excellent choice. Using well-known tools like Keras, Scikit-Learn, and TensorFlow, "Hands-On Machine Learning" walks readers through the process of creating and implementing machine learning models. With a hands-on approach, Géron empowers readers to apply AI concepts in real-world scenarios.

6. "Artificial Intelligence: A New Synthesis" by Nils J. Nilsson:

"Artificial Intelligence: A New Synthesis" by J. Nilsson provides a thorough overview of Artificial Intelligence, including a variety of subjects from perception and learning to problem-solving. The book strikes a balance between theory and application, making it suitable for readers looking to develop a holistic understanding of AI concepts.

7. "Artificial Intelligence: The Basics" by Kevin Warwick:

"Artificial Intelligence: The Basics" by Kevin Warwick is a concise yet informative guide that introduces the fundamental concepts of AI. Warwick explores the history, applications, and ethical considerations surrounding AI, making this book an accessible entry point for those wanting to grasp the basics quickly.

8. "Machine Learning Yearning" by Andrew Ng:

Andrew Ng, a prominent figure in the field of machine learning, offers "Machine Learning Yearning" as a practical guide for engineers and practitioners. Focused on the nuances of applying machine learning in real-world projects, this book provides valuable insights into the iterative process of building and deploying successful machine learning systems.

9. "Artificial Intelligence: Foundations of Computational Agents" by Patrick Winston:

Patrick Winston's "Artificial Intelligence" is a classic textbook that covers the principles and techniques used in the development of intelligent agents. With a focus on problem-solving and reasoning, the book is a comprehensive resource for those interested in the theoretical aspects of AI.

10. "Human Compatible: Artificial Intelligence and the Problem of Control" by Stuart Russell:

In "Human Compatible," Stuart Russell addresses the critical issue of aligning AI systems with human values. Russell examines the difficulties of developing AI that is advantageous and consistent with human aims, focusing on how crucial it is to match AI ambitions with human values to guarantee a positive and secure future.