Phd: Research paper-3

While this weeks topic highlighted the uncertainty of Big Data, the author identified the following as areas for future research.  Pick one of the following for your Research paper.:

• Additional study must be performed on the interactions between each big data characteristic, as they do not exist separately but naturally interact in the real world.
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• The scalability and efficacy of existing analytics techniques being applied to big data must be empirically examined.
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• New techniques and algorithms must be developed in ML and NLP to handle the real-time needs for decisions made based on enormous amounts of data.
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• More work is necessary on how to efficiently model uncertainty in ML and NLP, as well as how to represent uncertainty resulting from big data analytics.
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• Since the CI algorithms are able to find an approximate solution within a reasonable time, they have been used to tackle ML problems and uncertainty challenges in data analytics and process in recent years.

Your paper should meet the following requirements:

• Be approximately 5-6 pages in length, not including the required cover page and reference page.

• Follow APA guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.

• Support your response with the readings from the course and at least five peer-reviewed articles or scholarly journals to support your positions, claims, and observations. 

• Be clear with well-written, concise, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.

*** Please attach the grammarly score screenshot at the end of the research paper.