Data science and Big Data Analytics

“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.
The scalability and efficacy of existing analytics techniques being applied to big data must be empirically examined.
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.
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.
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 3 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.  The UC Library is a great place to  find resources.
•  Be clear with well-written, concise, using excellent grammar and style  techniques. You are being graded in part on the quality of your writing.”

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