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Data Analytics and Machine Learning

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Data Analytics and Machine Learning 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 This Edition

ISBN: 9789819704477
Publication date: 20th March 2024
Author: Pushpa Singh, Asha Rani Mishra, Payal Garg
Publisher: Springer an imprint of Springer Nature Singapore
Format: Hardback
Pagination: 353 pages
Series: Studies in Big Data
Genres: Databases
Natural language and machine translation
Machine learning