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 these requirements: 

  • Be approximately four to six pages in length, not including the required cover page and reference page.
  • Follow APA 7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
  • Support your answers with the readings from the course and at least two scholarly journal articles to support your positions, claims, and observations, in addition to your textbook. 
  • Be clearly and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.

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