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Augmented Intelligence The Human-AI Partnership [#1015810]

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Augmented Intelligence : The Human-AI Partnership by Ajit Singh
English | October 31, 2025 | ISBN: N/A | ASIN: B0FYP7JDX4 | 337 pages | EPUB | 0.78 Mb
"Augmented Intelligence : The Human-AI Partnership" is a comprehensive textbook and practical guide designed for the modern computer science curriculum. It moves beyond the traditional narrative of pure Artificial Intelligence to focus on the collaborative systems where humans and AI work together to achieve goals that neither could accomplish alone. This book serves as a bridge between foundational theory and real-world application, preparing students and professionals to build the next generation of intelligent tools.


Key Features:
1. Beginner to Advanced Trajectory: The book logically progresses from fundamental principles to advanced topics, making it suitable for both newcomers and those with prior knowledge.
2. Simple Language with Practical Examples: Complex algorithms and architectures are explained in the simplest possible terms, supported by real-life examples that are easy to relate to (e.g., email spam filters, medical diagnosis aids, recommendation systems).
3. Hands-On Practicals: Each technical chapter includes code snippets and practical exercises (primarily in Python using popular libraries like TensorFlow, PyTorch, and Scikit-learn) to reinforce learning.
4. Real-World Case Studies: Explores the application of Augmented Intelligence across various domains, including healthcare, finance, and the creative industries, to provide context and inspiration.
5. Focus on the Full Lifecycle: The book covers not just model building, but also the crucial aspects of system design, architecture, MLOps, and deployment.
6. Complete DIY Capstone Project: The final chapter guides the reader step-by-step through building a complete, working Augmented Intelligence project, including all necessary code and detailed explanations.
7. Ethical and Societal Focus: A dedicated chapter addresses the critical issues of bias, fairness, transparency, and the societal impact of AI, preparing students to be responsible technologists.
To Whom is This Book Addressed?
This book is tailored for a diverse audience:
1. B.Tech Computer Science Students: Provides a clear and accessible introduction to the core concepts of AI and Augmented Intelligence, with a strong focus on practical implementation.
2. M.Tech Computer Science Students: Offers advanced insights into system design, architecture, MLOps, and ethical considerations, along with a complex capstone project to hone their skills.
3. Aspiring AI/ML Engineers: Serves as a practical guide to building and deploying real-world AI systems that are user-centric and effective.
4. Researchers and Academics: Presents a structured curriculum and fresh perspective on teaching AI with a focus on human-AI collaboration.
5. Professionals and Managers: Offers a clear understanding of how to leverage Augmented Intelligence to drive innovation and efficiency in their organizations.
Why This Book?
The field of AI is evolving rapidly. Today, the most impactful applications are not those that replace humans, but those that amplify their capabilities. This book was written to fill a critical gap in existing literature by focusing squarely on this human-in-the-loop paradigm. It is uniquely structured to be globally relevant for undergraduate (B.Tech) and postgraduate (M.Tech) courses in computer science. It champions a hands-on, "learning by doing" approach, ensuring that readers not only understand the concepts but can also implement them.


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