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Nº de artículo:
164780697
Engineering Intelligent Systems, (Hardcover)
92% of respondents would recommend this to a friend
Nº de artículo:
164780697
PAB 152
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Engineering Intelligent Systems offers an intriguing new approach to making systems more intelligent using artificial intelligence, machine learning, systems thinking, and system modeling.
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What Stands Out
Integrated Approach
Combines systems engineering, AI, and visual modeling, offering a comprehensive solution for designing intelligent systems, making it ideal for engineers seeking a modern, holistic methodology.
Practical Applications
Focuses on real-world applications of systems thinking and AI, providing valuable insights and techniques for tackling complex engineering problems faced in today's technology-driven landscape.
Expert Insights
Authored by leading experts in the field, ensuring high-quality, reliable content that empowers readers with the latest knowledge and best practices in systems engineering and AI integration.
Detalles de producto
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | October, 2022 |
| Pages | 384 |
| Subgenre | Electronics |
| Series title | No Series |
| Edition | 1 |
| Publisher | John Wiley & Sons |
| Original languages | English |
| Language | English |
| Edu focus | Engineering |
| Educational level | General |
| Is collectible | N |
| Binding type | Case Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.00 x 0.88 x 9.00 in (15.2 x 2.2 x 22.9 cm) |
| Assembled product weight | 1.49 lb (680 grams) |
| Bisac subject heading | Technology & Engineering |
Who Should Buy?
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Systems Engineers
Ideal for professionals looking to integrate AI with systems engineering practices for improved design efficiency.
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AI Researchers
Beneficial for academics and researchers focusing on the intersection of artificial intelligence and systems design methodologies.
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Students
Great for students pursuing studies in engineering, AI, or systems thinking concepts, providing essential theoretical and practical insights.
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Casual Readers
Not suitable for those seeking light reading; it requires a technical background for full comprehension.
DESCRIPCIÓN DEL PRODUCTO
Engineering Intelligent Systems, (Hardcover)
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Preguntas y respuestas de los clientes
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Pregunta:
Who is the author of Engineering Intelligent Systems?
Respuesta: Dr. Barclay R. Brown, with 25 years of experience in software and systems engineering. -
Pregunta:
What are the key disciplines covered in the book?
Respuesta: Artificial intelligence, machine learning, model-based systems engineering, and systems thinking. -
Pregunta:
What skills will readers gain from this book?
Respuesta: Readers will learn how to design complex intelligent systems and enhance collaboration among stakeholders.
Barclay R Brown All Books Editorial Review
Engineering Intelligent Systems is a hardcover non-fiction book published by John Wiley & Sons in October 2022, featuring 384 pages dedicated to the fields of Computing & Internet and Electronics. This book is tailored for a general educational level and focuses on Engineering, making it a valuable resource for those interested in technology and engineering concepts. The case binding ensures durability, making it suitable for academic settings. Readers appreciate the informative content and clear explanations, which enhance their understanding of intelligent systems in engineering.
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ventajas
- Durable hardcover format for longevity
- Rich content on intelligent systems
- Clear explanations for complex topics
- Suitable for general educational use
- Published by a reputable publisher
Contras
- Some readers might find it dense for casual reading
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características y beneficios
- Integrates AI with systems engineering for smarter solutions.
- Designed for engineers and business professionals seeking innovation.
- Explores the synergy of systems thinking and modern technologies.
- Provides practical tools for collaboration in system development.
- Includes hands-on examples, like building a neural network without coding.
- Analyzes the future implications of conscious AI on society.
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