What are some common reasons for project failure?

  • Week 3 AssignmentComplete the following assignment in one MS word document:Chapter 5 –discussion question #1-4 & exercise 6 & internet exercise #7 (go to  neuroshell.com click on the examples and look at the current examples.  The Gee Whiz example is no longer on the page.)Chapter 6– discussion question #1-5 & exercise 4When submitting work, be sure to include an APA cover page and include at least two APA formatted references (and APA in-text citations) to support the work this week.All work must be original (not copied from any source).
  • Discussion BoardWeek 3: Discussion 1
    Week 3: Discussion 1Create a discussion thread (with your name) and answer the following question:Discussion 1 (Chapter 5): What is the relationship between Naïve Bayes and Bayesian networks? What is the process of developing a Bayesian networks model?Note: The first post should be made by Wednesday 11:59 p.m., EST. I am looking for active engagement in the discussion.  Please engage early and often.Your response should be 250-300 words.  Respond to two postings provided by your classmates.There must be at least one APA formatted reference (and APA in-text citation) to support the thoughts in the post.  Do not use direct quotes, rather rephrase the author’s words and continue to use in-text citations.
  • Discussion BoardWeek 3: Discussion 2
    Week 3: Discussion 2Create a discussion thread (with your name) and answer the following question:
    Discussion 2 (Chapter 6): List and briefly describe the nine-step process in con-ducting a neural network project.Note: The first post should be made by Wednesday 11:59 p.m., EST. I am looking for active engagement in the discussion.  Please engage early and often.Your response should be 250-300 words.  Respond to two postings provided by your classmates.There must be at least one APA formatted reference (and APA in-text citation) to support the thoughts in the post.  Do not use direct quotes, rather rephrase the author’s words and continue to use in-text citations.

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Chapter 5 Assignment Questions

Discussion Question #1: What is an artificial neural network and for what type of problem can it be used for?

Discussion Question #2: Compare artificial and biological neural networks. What aspect of biological networks are not mimicked by artificial ones? What aspects are similar?

Discussion Question #3: What are the most common ANN architectures? For what types of problem can they be used?

Discussion Question #4: ANN can be used be used for both supervised and unsupervised learning. Explain how they learn in a supervised mode and in an unsupervised mode.

Exercise #6: Go to Google Scholar (scholar.google.com) Conduct a search to find two papers written in the last five years that compare and contrast multiple machine-learning methods for a given problem domain. Observe commonalities and differences among their findings and prepare a report to summarize your understanding.

Internet Exercise #7: Go to http://www.neuroshell.com/examples.html. Look at USG Corporation example. Comment on the feasibility of achieving the results claimed by the developers of this neural network model.

Chapter 6 Assignment Questions

Discussion Question #1: What is deep learning? What can deep learning do that traditional machine-learning methods cannot?

Discussion Question #2: List and briefly explain different learning paradigms/methods of AI.

Discussion Question #3: What is representation learning, and how does it relate to machine learning and deep learning?

Discussion Question #4: List and briefly describe the most commonly used ANN activation functions.

Discussion Question #5: What is MLP, and how does it work? Explain the function of summation and activation weights in MLP-type ANN.

Exercise #4: Cognitive computing has become a popular term to define and characterize the extent of the ability of machines/computers to show “intelligent” behavior. Thanks to IBM Watson and its success on Jeopardy! cognitive computing and cognitive analytics are now part of many real-world intelligent systems. In this exercise, identify at least three application cases where cognitive computing was used to resolve complex real-world problems. Summarize your findings in a professional organized report.

Week 4 discussion

Initial Postings: Your initial post should be based upon the assigned reading for the week, so the textbook must be the primary source utilized and listed in your reference section (and properly cited within the body of the text. Other sources are not required but feel free to use them if they aid in your discussion. This means that they support the material from the textbook. Do not use other sources to substitute for or replace the textbook.

Provide a graduate-level response to each of the following questions:

  1. What are some common reasons for project failure?
  2. Who should be involved in identifying potential projects?
  3. What is a charter? Describe what an effective charter should accomplish. Explain how a charter helps secure both formal and informal commitment.
  4. What is scope? What is scope creep and how can it be prevented?

Your post must be substantive and demonstrate insight gained from the course material. Postings must be in the student’s own words – do not provide quotes!

Your initial post should be at least 500+ words and in APA format (written in full , using proper paragraph structure, sources cited within the body of the main text and Times New Roman with font size 12).

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    Chapter6_AnalyticsDataScienceArtificialIntellience.pdf
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    Chapter5_AnalyticsDataScienceArtificialIntellience.pdf
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    Chapter3-CharteringProjects.pptx
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