Item #:
2104847
Artificial Intelligence: A Modern Approach
89% of respondents would recommend this to a friend
Item #:
2104847
TMT 300
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A highly accessible, up-to-date professional reference for programmers, software engineers, system administrators, or technical managers.
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What Stands Out
Comprehensive Coverage
Offers an extensive exploration of artificial intelligence principles, algorithms, and applications, making it an essential resource for students and professionals alike seeking in-depth understanding.
Authoritative Source
Written by leading experts in the field, providing credibility and reliability for readers aiming for a solid foundation in AI concepts and methodologies.
Timeless Reference
Despite its publication date, remains relevant due to its thorough foundation and ongoing relevance in contemporary AI discussions, ensuring lasting value for future generations of learners.
Product Details
| Publisher | Prentice Hall |
| Publication date | January 1, 1995 |
| Edition | First Edition |
| Language | English |
| Print length | 960 pages |
| ISBN-10 | 0131038052 |
| ISBN-13 | 978-0131038059 |
| Item Weight | 3.6 pounds (1.63 kg) |
| Dimensions | 7.8 x 1.54 x 9.57 inches (19.8 x 3.9 x 24.3 cm) |
Who Should Buy?
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Students of AI
Ideal for undergraduate and graduate students seeking a comprehensive introduction to artificial intelligence concepts and techniques.
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AI Researchers
A valuable resource for researchers needing foundational knowledge and historical context in the development of AI methodologies.
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Professionals in Tech
Beneficial for software engineers and tech professionals looking to enhance their understanding of artificial intelligence applications.
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Casual Readers
Not suitable for those seeking light reading, as it is an academic and dense textbook on artificial intelligence.
Product Description
Artificial Intelligence: A Modern Approach
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Editorial Review
The "Artificial Intelligence: A Modern Approach" hardcover book is highly praised for being an excellent resource on fundamental methods for artificial intelligence and machine learning. Readers find it well-printed, easy to understand, and easy to locate specific methods within the book. While some may find the content a bit outdated, the clear explanations and implementation examples in pseudo code are appreciated. Furthermore, the book stands out for its useful exercises at the end of each chapter, treatment of various AI topics, and integration of historical accomplishments, making the complex subject easier to comprehend. Overall, it is seen as a valuable reference book for those interested in artificial intelligence. **
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Pros
- Excellent resource on fundamental methods for artificial intelligence and machine learning
- Well-printed and easy to understand
- Useful exercises at the end of each chapter
- Clear explanations and implementation examples in pseudo code
- Integration of historical accomplishments within the text
Cons
- Some may find the content a bit outdated
Product Price History
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Features & Benefits
- Integrates state-of-the-art AI techniques into intelligent agent designs.
- Guides the reader from simple reactive agents to full knowledge-based agents with natural language capabilities.
- Ideal for programmers, software engineers, system administrators, and technical managers.
- Presents examples and exercises for practical application.
- A valuable resource for those looking to enhance their understanding of AI.
- Published in 1995, but insights are still relevant and beneficial in today's context.
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