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This is a Systematic Review study.

The Role of Machine Learning in Enhancing Data Science Workflows: A Systematic Review

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Machine learning enhances data science workflows by automating complex tasks and enabling data-driven decision-making.
The review indicates that predictive accuracy improves through the integration of machine learning in various applications.
Proactive algorithms supported by GPUs and TPUs allow better forecasting in real-world scenarios, implying significant advancements.
Incorporating data engineering with AI reduces human errors and ensures scalability across different domains like healthcare and cybersecurity.

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Systematic review finds machine learning improves predictive accuracy in data science, highlighting the significance of data engineering techniques.

Mudita Sharma (2025) studied this question.

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Systematic review finds machine learning improves predictive accuracy in data science, highlighting the significance of data engineering techniques.