Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)

This volume presents key insights on machine learning and big data analytics, showcasing research and practical applications from the ICMLBDA 2021 conference.

This edited volume, Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021), serves as a crucial reference for researchers and practitioners across various fields, including computer science, electronics, telecommunication, information science, and electrical engineering. It compiles significant contributions from the conference, highlighting the latest advancements and methodologies in machine learning and big data analytics.

The book emphasizes the critical role that machine learning and big data analytics play in the development of innovative industrial applications. By leveraging machine learning techniques, organizations can analyze extensive and diverse datasets—often referred to as big data—to extract valuable insights. This process involves identifying hidden patterns, uncovering unknown correlations, and recognizing market trends that can significantly influence business strategies.

Furthermore, Machine Learning and Big Data Analytics discusses practical case studies and applications, demonstrating how these technologies can empower organizations to make informed decisions based on customer preferences and other critical data points. The volume aims to bridge the gap between theoretical research and practical implementation, making it an essential resource for anyone interested in the intersection of these transformative fields.