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Structured PREreview of Harnessing Big Data for Machine Learning (Strategies, Approaches, and Challenges)

by Muzammil Ahmad Khan
Published
DOI
10.5281/zenodo.14016476
License
CC BY 4.0
Does the introduction explain the objective of the research presented in the preprint?
Yes
Are the methods well-suited for this research?
Highly appropriate
Are the conclusions supported by the data?
Highly supported
Are the data presentations, including visualizations, well-suited to represent the data?
Highly appropriate and clear
How clearly do the authors discuss, explain, and interpret their findings and potential next steps for the research?
Very clearly
Is the preprint likely to advance academic knowledge?
Highly likely
Would it benefit from language editing?
No
Would you recommend this preprint to others?
Yes, it’s of high quality
Is it ready for attention from an editor, publisher or broader audience?
Yes, as it is

Competing interests

The author declares that they have no competing interests.

Comments

Write a comment
  1. by Darkgreen Hedgehog
    Published
    License
    CC BY 4.0

    Overall, the work provides valuable insights into overcoming the challenges associated with data volume, variety, and velocity, making it a significant contribution to the fields of both data science and machine learning. I enjoyed the read. A paper that recently cam put that might be of interest: Harnessing the Power of Geospatial Data

    Competing interests

    The author of this comment declares that they have no competing interests.