Future Prospects of Artificial Intelligence
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Narrated by:
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Virtual Voice
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By:
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Ajit Singh
This title uses virtual voice narration
Virtual voice is computer-generated narration for audiobooks.
Key Features:
1. Curriculum Aligned: Strictly compliant with the syllabi and learning outcomes prescribed by NEP 2020 and AICTE, and compatible with global engineering programs.
2. Hands-On Practicals: Each chapter includes "Hands-on Lab" sections with fully explained Python code using popular libraries like Scikit-learn, TensorFlow, and PyTorch.
3. Real-World Case Studies: Concepts are illustrated with simple, relatable examples (e.g., movie recommendations, medical imaging, spam detection) to make complex ideas tangible.
4. Focus on the Future: Dedicated chapters on Generative AI and emerging trends ensure students are learning about the technologies that will dominate the industry for years to come.
5. Integrated Ethics: A strong emphasis on Responsible AI, fairness, bias, and transparency is woven throughout the book, fostering a holistic and ethical understanding.
6. Complete Capstone Project: The final chapter provides the complete code and a step-by-step guide to building a live, portfolio-worthy AI application, from concept to deployment.
Who Should Read This Book?
1. Undergraduate (B.Tech/B.E.) students of Computer Science, Information Technology, AI & ML, and related engineering disciplines.
2. Postgraduate (M.Tech/M.E.) students seeking a comprehensive resource that covers both fundamentals and advanced research topics.
3. Software developers and IT professionals looking to upskill and transition into the field of AI and Machine Learning.
4. Aspiring data scientists and AI enthusiasts who want a structured, practical guide to start their journey.
This book is more than a collection of algorithms; it's a roadmap to understanding and shaping the future. Whether you are taking your first steps into AI or looking to deepen your expertise, "Future Prospects of Artificial Intelligence" will be your indispensable guide.
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