Data Analytics and Machine Learning

Pushpa Singh

ISBN 10: 9819704502 / ISBN 13: 9789819704507

Published by Springer, Springer Mär 2025, 2025

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 368 pp. Englisch.

Seller Inventory # 9789819704507

Bibliographic Details

• Title: Data Analytics and Machine Learning
• Publisher: Springer, Springer Mär 2025
• Publication Date: 2025
• Language: English
• ISBN 10: 9819704502
• ISBN 13: 9789819704507
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 19D millimeters 235 millimeters width by 155 millimeters height by 19 millimeters depth
• Weight: 624 grams

About this title

Synopsis

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.

About the Author

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.