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35511276
Artificial Intelligence: A Modern Approach, Global Edition
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Item #:
35511276
CAD 131
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What Stands Out
Comprehensive Coverage
Covers fundamental concepts and advanced topics in AI, making it suitable for both beginners and experienced practitioners, ensuring a thorough understanding of the field.
Global Edition
Tailored for international audiences, featuring diverse case studies and examples, which enhances relevance and applicability across various cultures and industries.
Updated Content
Incorporates the latest research and advancements in AI, providing readers with current knowledge and techniques essential for grasping modern developments in the field.
Product Details
- Long-anticipated revision of the book explores the full breadth and depth of the field of artificial intelligence (AI).
- The 4th Edition provides the latest technologies and presents concepts in a more unified manner.
- New or expanded coverage of machine learning, deep learning, transfer learning, multi-agent systems, robotics, natural language processing, causality, probabilistic programming, privacy, fairness, and safe AI.
- Global Edition 4th Edition.
| Publisher | Pearson |
| Publication date | May 13, 2021 |
| Edition | 4th |
| Language | English |
| Print length | 1166 pages |
| ISBN-10 | 1292401133 |
| ISBN-13 | 978-1292401133 |
| Item Weight | 4.7 pounds (2.13 kg) |
| Dimensions | 8.58 x 8.5 x 10.71 inches (21.8 x 21.6 x 27.2 cm) |
| Country of Origin | This item will be imported from US |
| Date First Available | June 01, 2021 |
| What is in the box | Artificial Intelligence: A Modern... For more details, please check description/product details |
Who Should Buy?
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Students in AI
Ideal for university students studying artificial intelligence, offering comprehensive theories and practical applications in the field.
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Professionals in Tech
Tech professionals seeking to enhance their AI knowledge, providing insights into modern approaches and advanced algorithms.
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Instructors and Educators
Great resource for educators teaching AI, containing structured content and exercises beneficial for curriculum development.
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Beginners in Programming
Not suitable for those with little programming experience as it assumes a certain level of technical knowledge.
Product Description
Artificial Intelligence: A Modern Approach, Global Edition
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Product Buying Guide
Artificial Intelligence: A Modern Approach, Global Edition 4th Edition is a comprehensive and up-to-date resource that offers a thorough understanding of AI concepts and applications. Whether you are a student, professional, or enthusiast interested in AI, this guide will help you make an informed purchase decision to meet your learning and professional needs.
Product Specifications
- Title: Artificial Intelligence: A Modern Approach, Global Edition 4th Edition
- Edition: 4th Edition
- Target Audience: Students, Professionals, Enthusiasts
- Language: English
- Publisher: Pearson
Key Features
- Comprehensive Coverage of AI Concepts and Applications
- Updated Global Edition Reflecting Current Trends
- Suitable for Academics and Industry Professionals
- Clear and Accessible Writing Style
- Includes Case Studies and Examples
Usage Scenarios
- Academic Studies and Research
- Professional Development and Training
- Self-Study and Skill Enhancement
- Understanding AI Concepts for Practical Application
Usage Scenarios
- Artificial Intelligence: A Global Perspective 3rd Edition
- Foundations of Artificial Intelligence 2nd Edition
Some User Review
- The content is well-structured and provides a comprehensive overview of AI concepts.
- The real-world examples make it easier to understand complex topics.
- This book is beneficial for both beginners and advanced readers due to its depth and clarity.
- The global edition is particularly helpful for readers outside the US, as it includes relevant international case studies.
Competitors
- Varies based on platform and condition (new/used)
- Competitively priced compared to similar AI textbooks
Buying Considerations
- Consider your proficiency level in AI to choose the most suitable edition (3rd or 4th) for your needs.
- Verify the edition and language to ensure compatibility with your academic or professional requirements.
Conclusion
Investing in Artificial Intelligence: A Modern Approach, Global Edition 4th Edition will provide you with a valuable and in-depth resource for understanding and applying AI concepts. With its comprehensive coverage, updated global perspective, and user-friendly approach, it is a worthwhile addition to your AI learning journey.
View LessArtificial Intelligence: A Modern Approach, Global Edition 4th Edition is a comprehensive and up-to-date resource that offers a thorough understanding of AI concepts and applications. Whether you are a student, professional, or enthusiast interested in AI, this guide will help you make an informed purchase decision to meet your learning and professional needs. Continue Reading
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Intelligence & Semantics Editorial Review
Artificial Intelligence: A Modern Approach, Global Edition is an essential text published by Pearson that delves deeply into the principles and practices of AI. With its extensive print length of 1166 pages, this comprehensive guide provides a robust educational resource for both students and professionals alike. Released on May 13, 2021, the 4th edition is crafted in English and is designed to cater to a global audience. Readers have praised its clarity and depth, making complex topics accessible. Whether you are new to AI or looking to enhance your knowledge, this book serves as an excellent reference point for understanding contemporary advancements in artificial intelligence.
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Pros
- Comprehensive coverage of AI topics
- Clear and accessible writing style
- Suitable for both students and professionals
- Robust reference for contemporary AI advancements
- Large print length for in-depth study
Cons
- Weight may make it less portable
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CAD 131
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Features & Benefits
- Thoroughly updated to cover the latest technologies
- More unified approach to concepts
- Expanded coverage on Machine Learning, Deep Learning, Transfer Learning, Multi Agent Systems, Robotics, Natural Language Processing, Causality, Probabilistic Programming, Privacy, Fairness, and Safe AI
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