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 3-5 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.