Year: 2022

Create a PowerPoint presentation demonstrating ethical frameworks used for problem-solving in your workplace. Which approach would you use based on the descriptions in this model?

PRESENTATION Create a PowerPoint presentation demonstrating ethical frameworks used for problem-solving in your workplace. Which approach would you use based on the descriptions in this model? Contribute a minimum of 10 slides. It should include at least four academic sources, formatted and cited in APA. Check your results, make any necessary corrections, and resubmit a […]

Visit the website for that car manufacturer and discuss with your group how many sub-brands you find there, and how they are differentiated.

6-1 Discussion: Brand Applications What kind of car do you drive? On the discussion topic, find others in OP’ your class who drive the same brand (Ford, Volvo, etc.) and discuss the variety of sub-brands (Focus, Taurus, etc.) driven within the group. Visit the website for that car manufacturer and discuss with your group how […]

In your own words, summarize the article. What are the main arguments? What is the point of the article?

Article Summary Paper In your own words, summarize the article. What are the main arguments? What is the point of the article? Cite your sources in-text and have a reference page using APA format. Make sure to paraphrase when you summarize the article. Do NOT copy the article word for word. You can occasionally quote […]

Discuss the main technique used, including the principle of the technique, key steps, advantages and disadvantages and use of controls.

Neuroscience Given below is Figure 3(A) which was presented in the Journal of Neuroinflammation (2007). Figure 3A: Representative photomicrographs showing RT-PCR products of COX-1, COX-2, mPGES-1, and β-actin mRNAs. Your task is specific to the figure above. In your essay, you are required to Discuss the main technique used, including the principle of the technique, […]

Calculate the difference in CLV using the spreadsheet data compiled by Boulogne and Scott in Exhibit 8.

Data Analytics Calculate the difference in CLV using the spreadsheet data compiled by Boulogne and Scott in Exhibit 8. If you opt to use the simplified formula shared by the professor, assume that the first contributions from customers acquired would occur in the next, rather than the current reporting period. As discussed in class, the […]

Consider the brand you have been working with. Identify a product you would choose to co-brand with.

6-3 Presentation: Building a Brand Consider the brand you have been working with. Identify a product you would choose to co-brand with. Explain why this co-branding works. Add this to the presentation you started in Module Five. Submit the presentation here. The whole presentation should be 4 to 6 slides in length.

Identify at least three products and three celebrity chefs. What do the products say about the chef and how do their products help to promote their “brand”?

Module Six > 6-2 Brand Blog Discussion: Celebrity Chefs as Brands 6-2 Brand Blog Discussion: Celebrity Chefs as Brands – In recent years celebrity chefs have become very popular. These chefs have also created new brands of products including grocery and cooking products (among others). These chefs have also endorsed existing products. Identify at least […]

What are some of the ways by which you can perform data analytics on such large petabyte level datasets in a feasible and efficient manner? Provide Specific Examples.

Programming Briefly explain the 3 models describing the attacker behaviors in respect to the source IP, the target IP and the time interval. (6) Cyber security applications result in large amounts of data. Such “Big Data” can be extracted from sensors, computer network traffic, or massive topology datasets. What are some of the ways by […]

What is the naive Bayes prediction “(x) for the input x = [x1, x2] = [0, 0]? Explain your reasoning.

Machine Learning Problem 1: Naive Bayes Classifiers (20 pts) Consider the binary classification problem where class label Y E {0, 1} and each training example X has 2 binary attributes X = [X1, X2] E {0,1}2. Assume that class priors are given P(Y = 0) = P(Y = 1) = 0.5, and that the conditional […]

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