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Problem-Solving in Data Science: A Spectrum of Challenges

T. Aditya Sai Srinivas, Y. Vinod Kumar, Y. Sravanthi, I.V. Srihith Dwaraka

Abstract


The text discusses the essence of Data Science as the application of data and computer science to address business challenges. It highlights the prevalence of diverse problems encountered by data professionals in their daily work. The text serves as an introduction to an article that promises to provide a comprehensive exploration of the various problem types within the realms of Data Science and Machine Learning. It suggests that readers who seek insights into these problem categories will find the forthcoming article valuable. The article aims to shed light on the multifaceted nature of issues tackled by professionals in the field of Data Science, providing a holistic view of the challenges encountered in this domain.


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References


https://subscription.packtpub.com/book/data/9781838551025/1/ch01lvl1sec04/different-types-of-data-science-problems

https://towardsdatascience.com/defining-a-data-science-problem-4cbf15a2a461

https://www.knowledgehut.com/blog/data-science/data-science-challenges

https://www.educative.io/courses/data-science-projects-with-python/different-types-of-data-science-problems

https://thecleverprogrammer.com/2023/10/03/types-of-problems-in-data-science/


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