Leveraging machine learning for big data analytics: a strategic overview
DOI:
https://doi.org/10.5281/zenodo.15791822Keywords:
Big Data, Machine Learning (ML), Data Preprocessing, Model, Internet of Things (IoT), Model Training, Machine Learning ApproachAbstract
This article explores the synergistic relationship between Big Data and Machine Learning (ML), two
transformative technologies shaping the modern data-driven landscape. As the volume, velocity, and variety of data
continue to grow exponentially, traditional processing methods have become increasingly inadequate. Machine Learning
offers a powerful solution by providing algorithms capable of learning from and making predictions on vast datasets. This
paper provides a comprehensive overview of how organizations can leverage the combined power of Big Data and ML
to gain a competitive advantage. It discusses the fundamental principles, key applications, operational frameworks, and
inherent challenges of this integration, offering a strategic guide for businesses aiming to transition into a more intelligent,
data-centric operational model
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