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230620359
Machine Learning & AI Models : Real-World Applications & Challenges
Item #:
230620359
WST 41
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This book bridges the gap between theory and practice by exploring how ML and AI technologies are applied in real-world contexts.
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- The growing influence of Machine Learning (ML) and Artificial Intelligence (AI) has reshaped the foundations of modern society, creating transformative impacts across industries, research domains, and daily life. This book, “Machine Learning & AI Models: Real-World Applications & Challenges,” aims to bridge the gap between theory and practice by exploring how ML and AI technologies are applied in real-world contexts. A central theme of this work is the critical importance of data governance, quality, and ethics in determining the success of AI applications. Machine learning models rely heavily on the data they are trained with, and challenges such as data bias, incompleteness, and poor quality often lead to system inefficiencies or failures. Unlike traditional approaches that depend on explicit models, ML emphasizes pattern recognition and predictive accuracy derived from data. Its integration with deep learning has opened new horizons in natural language processing, computer vision, and autonomous systems, rivaling human-like capabilities in perception and reasoning. Practitioners must balance innovation with responsibility, ensuring that models remain interpretable, reliable, and aligned with ethical standards. Furthermore, the book explores emerging challenges in AI deployment, such as algorithmic bias, lack of transparency, and the societal implications of automation. Through case studies and discussions, the text highlights the need for human-centered AI that augments human capabilities rather than replacing them. It combines theoretical understanding with industry applications, helping readers navigate the rapidly changing landscape of AI and ML. Whether used as a textbook, a practitioner’s guide, or a research reference, this volume encourages responsible innovation and thoughtful reflection on how intelligent systems can contribute to building a smarter, fairer, and more inclusive world.Authors
| Publisher | A2Z EDULEARNINGHUB |
| Publication date | November 24, 2025 |
| Language | English |
| File size | 11.4 MB |
| Enhanced typesetting | Not Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Format | Print Replica |
| ISBN-13 | 978-8199549708 |
| Page Flip | Not Enabled |
| Item Weight | 2.5 lbs (1.13 kg) |
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Machine Learning & AI Models : Real-World Applications & Challenges
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WST 41
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Features & Benefits
- Explore real-world applications of Machine Learning and AI.
- Understand the critical importance of data governance and ethics.
- Learn how to mitigate challenges like data bias and poor quality.
- Discover emerging challenges in AI deployment.
- Access case studies and practical insights for responsible innovation.
- Navigate the evolving landscape of AI for a smarter, fairer world.
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