Data Analytics and Machine Learning
Pushpa Singh · Asha Rani Mishra · Payal Gargfrom vast amounts of complex data to gain a competitive advantage. The integration of data analytics and machine learning has become the keystone of innovation,
unlocking insights, trends, and potential of data for the recent transformation in
various domains. This book, “Data Analytics and Machine Learning—Navigating
the Big Data Landscape,” is a comprehensive exploration of the synergies between
Data Analytics and Machine Learning, providing a roadmap for a new industry
revolution. This book offers a comprehensive exploration of fundamentals of Data
Analytics, Big Data, and Machine Learning. This book offers a holistic perspective
on Data Analytics and Big Data, encompassing diverse topics and approaches to
help readers navigate the intricacies of this rapidly evolving field. This book serves
to cover a broader view of Machine Learning techniques in Big-Data analytics, Challenges of Deep Learning models, Data Privacy and Ethics in Data Analytics, Future
Trends in Data Analytics and Machine Learning, and the practical implementation of
Machine Learning techniques and Data Analytics using R. This book explores how
the Big Data explosion, power of Analytics and Machine Learning revolution can
bring new prospects and opportunities in the dynamic and data-rich landscape. This
book aims to highlight the future research directions in Data Analytics, Big Data, and
Machine Learning that explore the emerging trends, challenges, and opportunities in
the related field by covering interdisciplinary approaches in Data Analytics, handling
and analyzing real-time and streaming data, and many more. This book offers a broad
review of existing literature, case studies, and valuable perceptions into the growing
nature of Data Analytics and Machine Learning and its inferences to the decision
support system to make managerial decisions to transform the business
…