The Architecture of Artificial Intelligence
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Book 1
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Book 1
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Home > Computing and Information Technology > Computer science > Artificial intelligence > The Architecture of Artificial Intelligence: Real-World Approaches to Creating Intelligent, Efficient, and Responsible Systems(7 Innovation Insights Exploring the Latest Tech Trends)
The Architecture of Artificial Intelligence: Real-World Approaches to Creating Intelligent, Efficient, and Responsible Systems(7 Innovation Insights Exploring the Latest Tech Trends)

The Architecture of Artificial Intelligence: Real-World Approaches to Creating Intelligent, Efficient, and Responsible Systems(7 Innovation Insights Exploring the Latest Tech Trends)


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About the Book

Have you ever wondered how machines can understand language, recognize faces, or even make decisions? Do you want to understand what really powers intelligent systems beneath the surface-without falling into vague buzzwords or hype? The Architecture of Artificial Intelligence is more than just another book on AI. It's a carefully structured, clear, and technically rich exploration of the foundational systems that make modern AI possible. Whether you're a student, developer, or a curious professional trying to break into AI, this guide helps you connect the dots between ideas, algorithms, and real-world applications. This book answers questions like: What are the core components that make AI systems work effectively? How do machine learning frameworks actually operate? Why do certain neural network architectures outperform others in specific tasks? What design principles matter when building AI for real-life use-not just theory? How do ethics, sustainability, and transparency fit into modern AI system design? Each chapter is built to be practical, grounded in open-source knowledge, and free from the confusion of jargon. You'll find clear explanations, examples, and structured insights into data pipelines, model training strategies, optimization layers, deployment workflows, and system governance-all without any guesswork or misleading simplifications. This isn't just about writing code or using frameworks-it's about understanding the mindset behind effective AI architecture. How do you make choices that are scalable, interpretable, and secure? What role do data engineering, model selection, and infrastructure management play in delivering results you can trust? Whether you're looking to become a machine learning engineer, AI architect, or simply want to build solid AI solutions for your business or research-this book is your no-nonsense companion. It speaks directly to you, respects your time, and doesn't pretend AI is magic. Why should you read this book? Because you're not here to be entertained with buzzwords. You're here to understand, build, and make smart decisions in one of the most transformative fields of our time. The Architecture of Artificial Intelligence respects that-and gives you what you need.


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Product Details
  • ISBN-13: 9798296158628
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 279 mm
  • No of Pages: 312
  • Returnable: N
  • Spine Width: 17 mm
  • Weight: 726 gr
  • ISBN-10: 8296158620
  • Publisher Date: 01 Aug 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Series Title: 7 Innovation Insights Exploring the Latest Tech Trends
  • Sub Title: Real-World Approaches to Creating Intelligent, Efficient, and Responsible Systems
  • Width: 216 mm


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The Architecture of Artificial Intelligence: Real-World Approaches to Creating Intelligent, Efficient, and Responsible Systems(7 Innovation Insights Exploring the Latest Tech Trends)
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