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Explain why the process of project planning is iterative and why a plan must be continually reviewed during a software project.
What does the following algorithm do? Analyze its worst-case running time and express it using "Big-Oh" notation.
Run a simple linear regression and multiple linear regression to determine the relationship between mpg and appropriate independent variable.
Describe collaborative methods of data analysis. What would this look like for a grade-level team during a Professional Learning Community (PLC)?
How do you describe the importance of data in analytics? Can we think of analytics without data? Explain.
You have been asked by management (manufacturing, healthcare, retail, financial, etc.) to create a demo using a data analytic or BI tool.
The rising importance of big-data computing stems from advances in many different technologies.
Consider the "data needs" of a small accounting department at a tax services firm. What would some of the data entities be in this setting?
It presents a video of how Verizon Wireless uses Teradata's Unified Data Architecture to analyze Big Data to reduce customer churn.
Compared to regular analytics, do you think stream analytics will have more (or fewer) uses cases in the era of Big Data analytics? Why?
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.
You have been asked by management (manufacturing, healthcare, retail, financial, and etc.) to create a demo using a data analytic or BI tool.
Where your client, Farmer Consulting, is asking for a white paper discussing the key points, benefits, and components are a modern data architecture.
What is your expected outcome for attempting this venture? Solve this problem using a decision tree and clearly show all calculations.
In CLIQUE, the threshold used to find cluster density remains constant, even as the number of dimensions increases.
Discuss the role government plays in a global economy. Also, look at what policies are currently in place.
Discuss the major issues in the classification model overfitting. Give some examples to illustrate your points.
Discuss the strengths and weaknesses of using K-Means clustering algorithm to cluster multi class data sets.
Draw the tree and write at least two rules. What are the variables that best split the data in the first and second level of the tree?
Why do you think the early phases (understanding of the business and understanding of the data) take the longest in data mining projects?
Should you encrypt data before transferring it to the cloud or encrypt it after it is stored in the cloud? Explain your answer.
Discuss the need for sharing data among functional areas. Research and report on one example of how an organization identified the need for shared data.
Review The Power of Good Design and select three of the ten principles noted for good design.
Discuss the role consumers play in new product development and discuss which new product classification they influence the most and why in 400 words.
Also, this week there was a video of Andy Kirk (2015) noting the key concepts of data visualization thinking.