Leveraging machine learning for big data analytics: a strategic overview

Leveraging machine learning for big data analytics: a strategic overview

Authors

  • Ismaylov Timur Kuanishbaevich
  • Kurbanbaev Bakhtiyar Bakhitovich
  • Orazbayev Aqilbay Jenisbay uli

DOI:

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

Keywords:

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

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

Author Biographies

Ismaylov Timur Kuanishbaevich


Assistant at Nukus state
technical university

Kurbanbaev Bakhtiyar Bakhitovich


Assistant at Nukus state
technical university

Orazbayev Aqilbay Jenisbay uli


Assistant at Nukus state
technical university

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Published

2025-06-01
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