Machine Learning Techniques and Industry Applications - Rilegato

Rilegato

ISBN 13: 9798369352717

Casa editrice: IGI Global, 2024

Riassunto

In today's rapidly evolving world, the exponential growth of data poses a significant challenge. As data volumes increase, traditional methods of analysis and decision-making become inadequate. This surge in data complexity calls for innovative solutions that efficiently extract meaningful insights. Machine learning has emerged as a powerful tool to address this challenge, offering algorithms and techniques to analyze large datasets and uncover hidden patterns, trends, and correlations. However, while machine learning holds immense potential, many professionals and researchers need help to grasp its complex conceptual frameworks and methodologies. Understanding the fundamental principles and practical applications of machine learning is crucial for leveraging its full potential. Focusing on conceptual clarity and practical relevance, Machine Learning Techniques and Industry Applications provides a comprehensive guide to machine learning, from theoretical foundations to real-world applications. Machine Learning Techniques and Industry Applications demystifies machine learning through detailed explanations, examples, and case studies, making it accessible to a broad audience. Whether you're a student, researcher, or practitioner, this book equips you with the knowledge and skills needed to harness the power of machine learning to address diverse challenges. From e-government to healthcare, cyber-physical systems to agriculture, this book explores how machine learning can drive innovation and sustainable development.

Dettagli dell?edizione

• Editore: IGI Global
• Data di pubblicazione: 2024
• ISBN 13: 9798369352717
• Rilegatura: Copertina rigida
• Lingua: Inglese
• Numero di pagine: 332
• Redattore: Srivastava Pramod Kumar, Yadav Ashok Kumar
• Contatto del produttore: non disponibile