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Computer Science Textbooks
Artificial Intelligence
Artificial Intelligence: A Modern Approach
4th Edition · Stuart Russell, Peter Norvig
A strong resource for learning the concepts behind artificial intelligence and modern intelligent systems.
What You’ll Learn
A quick overview of the core skills and concepts covered in this book
- Search, knowledge representation, probabilistic reasoning, planning, and learning
- Foundational AI algorithms and agent-based approaches
- Machine learning, natural language, robotics, and ethical considerations
- How AI problems are modeled and solved across different techniques
Who This Book Is For
- Computer science students studying artificial intelligence
- Developers moving into AI or machine learning foundations
- Graduate students and self-learners needing a broad AI reference
- Readers with math and programming background
Inside the Book
- Conceptual explanations of core AI techniques
- Search, reasoning, learning, or probabilistic modeling topics
- Exercises and examples for modeling intelligent behavior
- Broad coverage across classical and modern AI
- Useful reference for coursework or self-study
Why This Book Stands Out
- One of the most widely used comprehensive AI textbooks
- Broad coverage from classical AI to modern machine learning topics
- Strong conceptual framework around intelligent agents
- Useful as both a course text and long-term AI reference
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