– Then select a key area of predictive analytics (from chapters 4-7) to implement in the organization. Some key areas to consider are listed below.
Select major topic (Data mining process, methods, and algorithms (from Chapter 4); Machine- learning Techniques for Predictive Analytics (from Chapter 5); Deep Learning and Cognitive Computing (from 6); and Text Mining, Sentiment Analysis, and Social Analytics to discuss for the residency requirement ( from chapter7)
You must indicate:
– Why the predictive analytic component is going to be implemented by noting the problem that you are trying to solve, noting how your team will solve the problem with the selected method (this must be a thorough in-depth analysis), and also present your findings using a power point presentation.
-Note any Big Data Challenges or other technology or cultural challenges you may face and how you will mitigate these challenges in your presentation.
` Format for paper: Title page, Abstract, Header with page numbers, Reference page, APA form and style with Times New Roman 12 point font. Body of the paper is 10-12 pages long (excludes title page, reference page, abstract). Any diagrams or charts inserted do not “count” to make the required length. Any diagrams or charts need to be approved by the professor. FIVE scholarly sources AND your text are required both incorporating intext citations and references. Be sure to have a concluding section that briefly summarizes the most important “take-aways” from your paper and this should be 3 paragraphs long minimum.