Leveraging machine learning for big data analytics: a strategic overview

Leveraging machine learning for big data analytics: a strategic overview

##article.authors##

  • Timur Ismaylov
  • Bakhtiyar Kurbanbaev
  • Aqilbay Orazbayev

##semicolon##

https://doi.org/10.5281/zenodo.15791822

##semicolon##

Big Data, Machine Learning (ML), Data Preprocessing, Model, Internet of Things (IoT), Model Training, Machine Learning Approach

##article.abstract##

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

##submission.authorBiographies##

Timur Ismaylov


Assistant at Nukus state
technical university

Bakhtiyar Kurbanbaev


Assistant at Nukus state
technical university

Aqilbay Orazbayev


Assistant at Nukus state
technical university

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##submissions.published##

2025-06-01
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