What is an artificial neural network and for what types of problems can it be used?
Week 5 Assignment
Complete the following assignment in one MS Word document:
Chapter 5 –discussion questions #1 through 4 & exercise 6 & internet exercise #7 (go to neuroshell.com click on the examples and look at the current examples listed, the Gee Whiz example is no longer on the page).
When 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).
Questions for Discussion
1.What is an artificial neural network and for what types of problems can it be used?
Exercises
4.The purpose of this exercise is to develop models to predict the type of forest cover using a number of cartographic measures. The given data set (see Online Supplements) includes four wilderness areas found in the Roosevelt National Forest of northern Colorado. A total of 12 cartographic measures were utilized as independent variables; seven major forest cover types were used as dependent variables.
This is an excellent example for a multi-class classification problem. The data set is rather large (with 581,012 unique instances) and feature rich. As you will see, the data are also raw and skewed (unbalanced for different cover types). As a model builder, you are to make necessary decisions to preprocess the data and build the best possible predictor. Use your favorite tool to build the models for neural networks, SVM, and nearest neighbor algorithms, and document the details of your results and experiences in a written report. Use screenshots within your report to illustrate important and interesting findings. You are expected to discuss and justify any decision that you make along the way.
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 neuroshell.com. Look at Gee Whiz examples. Comment on the feasibility of achieving the results claimed by the developers of this neural network model.
SUBJECT
BUSINESS INTELLIGENCE
BOOK
Analytics, Data Science, & Artificial Intelligence
Dursun Delen
CHAPTER 5 Machine-Learning Techniques for Predictive Analytics
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