Problems from the Past, Problems from the Future, and Data Science Solutions

Authors

  • Mahesh Babu Pasupuleti Northwestern Polytechnic University

DOI:

https://doi.org/10.18034/abcjar.v4i2.614

Keywords:

Data Science, Data Scientist, Data Science Solution

Abstract

According to the findings of this study, the usual workday for a Data Scientist varies based on the sort of project on which they are working at the time. In order to extract insights from data, a variety of algorithms are employed. Because Data Scientists can access algorithms, tools, and data over the Cloud, they can keep up to date and collaborate more readily than ever before.

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Author Biography

  • Mahesh Babu Pasupuleti, Northwestern Polytechnic University

    Student, Masters of Science in Computer Science, Northwestern Polytechnic University, 47671 Westinghouse Dr, Fremont, CA 94539, USA

References

Granville, V. (2014). Developing Analytic Talent: Becoming a Data Scientist, John Wiley and Sons, Incorporated, US.

Miller, F. D. (2013). Aristotle on Belief and Knowledge. In Anagnostopoulos and Miller (Eds.), 285-307.

Pasupuleti, M. B. (2015). Data Science: The Sexiest Job in this Century. International Journal of Reciprocal Symmetry and Physical Sciences, 2, 8–11. Retrieved from https://upright.pub/index.php/ijrsps/article/view/56

Rogers, S. (2012). What is a data scientist? The Guardian. https://www.theguardian.com/news/datablog/2012/mar/02/data-scientist

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Published

2015-12-31

Issue

Vol. 4 No. 2 (2015): July-December

Section

Articles

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How to Cite

Pasupuleti, M. B. (2015). Problems from the Past, Problems from the Future, and Data Science Solutions. ABC Journal of Advanced Research, 4(2), 153-160. https://doi.org/10.18034/abcjar.v4i2.614
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