1. “Artificial Intelligence: A Modern Approach” – Stuart Russell and Peter Norvig
Considered the classic and most comprehensive book on artificial intelligence, “Artificial Intelligence: A Modern Approach” provides a comprehensive view from basic theory to modern applications. The book covers many important aspects of AI such as probability theory, machine learning, game theory, and natural language processing. Stuart Russell and Peter Norvig have built a solid foundation for beginners and experts alike who want to delve into AI.
This book is not only an academic text, but also a leading reference source for many AI courses globally. It provides detailed algorithms and explanations of how they work. This helps learners have a clearer view of how AI systems are designed and operate in practice. With more than 1000 pages of content, this book is very suitable for those who want a comprehensive view of the AI field from theory to practice.
2. “Deep Learning” – Ian Goodfellow, Yoshua Bengio, and Aaron Courville
“Deep Learning” is an important book for those who want to delve into deep learning. This is a comprehensive book on deep learning, one of the most advanced and important aspects in the field of machine learning. Author Ian Goodfellow, along with Yoshua Bengio and Aaron Courville, has written a book that is easy to understand for those wanting to get started with deep learning, yet packed with detail and knowledge for experts.
This book focuses on how to build and train artificial neural networks, as well as how deep learning models can solve complex problems in computer vision, speech recognition, and speech processing. natural language logic. A special part of the book is the way the authors combine mathematical theory and practical examples, helping readers easily apply knowledge into practice.
With more than 700 pages of in-depth content, “Deep Learning” provides theoretical foundations and useful tools for those who want to further explore artificial intelligence and its applications across industries.
3. “Life 3.0: Being Human in the Age of Artificial Intelligence” – Max Tegmark
Max Tegmark’s book “Life 3.0” is not only a science book but also a profound work about the future of humans in the AI era. This book focuses on how AI will change our lives in areas such as economics, ethics, and society. Tegmark gives concrete examples of how AI can help, from automating labor to improving healthcare to predicting global crises.
The highlight of this book is the way Tegmark describes the evolutionary stages of life on Earth, from Life 1.0 (humans without technology), Life 2.0 (humans with technology but limited) and Life 3.0 (AI self-evolves and learns). He also discussed the potential dangers of AI, such as AI control, and different scenarios for humanity’s future as AI increasingly develops.
This book is suitable for those who want to gain a deeper understanding of the impact of AI on life, culture, and society. It is not just a book about technology but also an extensive discussion of the ethics and philosophy of artificial intelligence.
4. “Genius Makers” – Cade Metz
“Genius Makers” by Cade Metz is a book that recounts the journey of pioneers in the field of artificial intelligence. This book combines the history of AI’s development and personal stories about the leading researchers and engineers who have taken AI from theory to practical technology. Metz interviewed the people behind major tech companies like Google, Facebook, and DeepMind, creating an in-depth look at the evolution of AI in the modern world.
This book also helps readers better understand how AI is developed in major technology companies and the challenges scientists face during its development. Metz discusses the battles between technology companies for AI talent, as well as the ethical and legal issues surrounding AI development.
“Genius Makers” is a great choice for those interested in the history and future of AI, along with the challenges the industry is facing. The book not only recounts the past but also predicts the next advances in AI technology.
5. “Rebooting AI: Building Artificial Intelligence We Can Trust” – Gary Marcus and Ernest Davis
“Rebooting AI” by Gary Marcus and Ernest Davis is a book that deeply analyzes the problems facing modern artificial intelligence, especially deep learning systems. Marcus, one of AI’s leading critics, argues that current AI systems, while impressive, lack real understanding and are prone to error when faced with unexpected situations.
This book is a call for AI to become more trustworthy, transparent, and explainable. Marcus and Davis discuss how to develop AI systems capable of logical reasoning and the ability to learn from little data, instead of relying on massive data models as they currently do. This is a book for those who want to learn about the current limitations of AI and how we can overcome them.
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