Data Analytics and Machine Learning: Navigating the Big Data Landscape: 145 - Brossura

Brossura

ISBN 10: 9819704502 ISBN 13: 9789819704507

Casa editrice: Springer-Nature New York Inc, 2025

Riassunto

This book presents an in-depth analysis of successful data-driven initiatives, highlighting how organizations have leveraged data to drive decision-making processes, optimize operations, and achieve remarkable outcomes. Through case studies, readers gain valuable insights and learn practical strategies for implementing data analytics, big data, and machine learning solutions in their own organizations. The book discusses the transformative power of data analytics and big data in various industries and sectors and how machine learning applications have revolutionized exploration by enabling advanced data analysis techniques for mapping, geospatial analysis, and environmental monitoring, enhancing our understanding of the world and its dynamic processes. This book explores how big data explosion, the power of analytics and machine learning revolution can bring new prospects and opportunities in the dynamic and data-rich landscape. It highlights the future research directions in data analytics, big data, and machine learning that explores the emerging trends, challenges, and opportunities in these fields by covering interdisciplinary approaches such as handling and analyzing real-time and streaming data.

Su questo libro

Informazioni sull?autore

Dr. Pushpa Singh is working as an associate professor at the GL Bajaj Institute of Technology & Management, India. Her current areas of research include performance evaluation of heterogeneous wireless networks, machine learning and blockchain technology.

Dr. Asha Rani Mishra is working as an associate professor at the GL Bajaj Institute of Technology & Management, India. Her current areas of research include machine learning, AI, NLP, and deep learning.

Dr. Payal Garg is working as an assistant professor at the GL Bajaj Institute of Technology & Management, India. Her current areas of research include image processing and machine learning techniques.

Dalla quarta di copertina

This book presents an in-depth analysis of successful data-driven initiatives, highlighting how organizations have leveraged data to drive decision-making processes, optimize operations, and achieve remarkable outcomes. Through case studies, readers gain valuable insights and learn practical strategies for implementing data analytics, big data, and machine learning solutions in their own organizations. The book discusses the transformative power of data analytics and big data in various industries and sectors and how machine learning applications have revolutionized exploration by enabling advanced data analysis techniques for mapping, geospatial analysis, and environmental monitoring, enhancing our understanding of the world and its dynamic processes. This book explores how big data explosion, the power of analytics and machine learning revolution can bring new prospects and opportunities in the dynamic and data-rich landscape. It highlights the future research directions in data analytics, big data, and machine learning that explores the emerging trends, challenges, and opportunities in these fields by covering interdisciplinary approaches such as handling and analyzing real-time and streaming data.

Dettagli dell'edizione

• Editore: Springer-Nature New York Inc
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 9819704502
• ISBN 13: 9789819704507
• Rilegatura: Copertina flessibile
• Numero di pagine: 368
• Redattore: Singh Pushpa, Mishra Asha Rani, Garg Payal
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Germania