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SKU/Artículo: AMZ-B0FKTCB9TS

From Data to Decisions: Navigating the AI and Machine Learning Landscape

Format:

Kindle

Kindle

Paperback

Detalles del producto

Disponibilidad:
Fuera de stock

Peso con empaque:
0.94 kg

Devolución:
No

Condición
Nuevo

Producto de:
Amazon

Viaja desde
USA

Sobre este producto

From Data to Decisions: Navigating the AI and Machine Learning Landscape By Mohamed Abdul Kadar Mohamed Jabarullah Artificial intelligence (AI) and machine learning (ML) are reshaping industries, research, and innovation. From Data to Decisions provides a comprehensive, structured exploration of the AI and ML ecosystem, designed for students, researchers, and professionals seeking both depth and clarity. Organized across seven chapters, this book delivers a rigorous yet accessible overview of theory, methods, and applications:Foundations of AI and ML – Historical evolution, conceptual frameworks, mathematical underpinnings, and ethical perspectives.Data as the Core of Machine Learning – Data types, preprocessing, feature engineering, governance, and regulatory considerations.Machine Learning Paradigms – Detailed coverage of supervised, unsupervised, and reinforcement learning, along with comparative analyses and emerging algorithmic innovations.Deep Learning and Neural Architectures – Architectural principles, CNNs, RNNs, Transformers, and their applications to complex problem-solving.Practical Applications Across Industries – Case studies in healthcare, finance, marketing, and sector-specific AI solutions.Model Development and Deployment – Best practices for model selection, validation, hyperparameter optimization, and production deployment.Future Directions – Insights into emerging trends, responsible AI frameworks, and strategies for addressing bias and fairness.By combining theoretical depth, practical strategies, and real-world examples, this text serves as a resource for academic study, professional development, and applied AI practice. It is ideal for those pursuing advanced study in computer science, data science, or statistics, as well as practitioners seeking to integrate AI-driven solutions into their work.

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