There is no single best book to read about AI, however this guide:
- 10 great reads on Artificial Intelligence
- Bringing you different genres
- So you can learn from AI books.
All titles below can found as hard copies & eBooks.
Let’s go!
Listed: 10 best books on AI in 2023
1. “Life 3.0: Being Human in the Age of Artificial Intelligence”
Written by Max Tegmark.
- Pros: Comprehensive overview, accessible
- Cons: Less technical
- Pricing: Around $18
- Features: Future scenarios, ethics
Read online: Life 3.0: Being Human in the Age of Artificial Intelligence
2. “Superintelligence”
Written by Nick Bostrom.
- Pros: Deep analysis, thought-provoking
- Cons: Dense read
- Pricing: Around $16
- Features: Risk assessment, future paths
Read online: Superintelligence
3. “The Master Algorithm”
Written by Pedro Domingos.
- Pros: Explains algorithms, beginner-friendly
- Cons: Overly optimistic
- Pricing: Around $17
- Features: Types of learning algorithms
Read online: The Master Alogirthm
4. “Deep Learning”
Written by Ian Goodfellow, Yoshua Bengio, and Aaron Courville.
- Pros: Technical, in-depth
- Cons: Not for beginners
- Pricing: Around $60
- Features: Neural networks, academic focus
Read online: Deep Learning
5. “Artificial Intelligence: A Very Short Introduction”
Written by Margaret A. Boden.
- Pros: Quick read, foundational
- Cons: Basic
- Pricing: Around $12
- Features: AI history, ethical considerations
Read online: Artificial Intelligence: A Very Short Introduction
6. “Artificial Intelligence: Foundations of Computational Agents”
Written by David L. Poole and Alan K. Mackworth.
- Pros: Scholarly, comprehensive
- Cons: Academic language
- Pricing: Around $80
- Features: Problem-solving, logical reasoning
Read online: Artificial Intelligence: Foundations of Computational Agents
7. “Weapons of Math Destruction”
Written by Cathy O’Neil.
- Pros: Social implications, relatable
- Cons: Less about technology
- Pricing: Around $15
- Features: Algorithmic bias, ethical issues
Read online: Weapons of Math Destruction
8. “Gödel, Escher, Bach”
Written by Douglas Hofstadter.
- Pros: Interdisciplinary, classic
- Cons: Long, complex
- Pricing: Around $20
- Features: Cognitive science, formal systems
Read online: Gödel, Escher, Bach
9. “Artificial Unintelligence”
Written by Meredith Broussard.
- Pros: Critical view, journalistic
- Cons: Less technical detail
- Pricing: Around $18
- Features: Limits of AI, societal impact
Read online: Artificial Unintelligence
10. “You Look Like a Thing and I Love You”
Written by Janelle Shane.
- Pros: Humorous, engaging
- Cons: Lighter content
- Pricing: Around $17
- Features: AI quirks, machine learning basics
Read online: You Look Like a Thing and I Love You
Conclusion
This is the end of our guides on the 10 best AI-related books.
Learn something new, have some fun, and relax.
Learn how to become more productive with our guides on how to use AI.
Thank you for reading this,
Ch David and Daniel
