Spend 5 minutes to think about the following questions and pick either to answer:
1. What is the difference between classification and clustering?
2. What is the statistical tests (or value) we used to evaluate a decision tree? What about clustering?
Spend 5 minutes to think about the following questions:
1. How can decision trees be used in businesses? What kind of business operations?
2. What do you think will be the difference between decision tree analysis and clustering analysis?
spend 1-2 minute and write a MySQL query that comes into your mind.
Please spend 100 seconds to reflect on what you have learned in ER Diagram, and Database Schemas.
What is the most important thing you learned in the first week?
Please think of the following:
You are consulting for Facebook as they decide to improve their efforts to generate ad-based revenue for their site. You know that ads are most successful when they are targeted to a user’s preferences, demographics, and the activities of others within their social network (i.e., their “friends”), and their own purchase history. For example, it makes more sense to show a college student an advertisement for textbooks or fast food than retirement homes).
The problem is best determining to what ads customer would best respond based on the information available to the company through each user’s profile activity. Try to articulate the solution you come up with in an Entity-Relationship paradigm.
Generate five to ten pieces of data that you’d use to determine what ads to show a user. For each piece of data, explain how you would obtain this from the data available on Facebook. Join the conversation!
Think for about 100 seconds what you learnt in class during the last class and summarize your thoughts here.
Answer one of the following questions as a comment on this post.
- What do you think is more important to an organization: data or information (don’t say “both” – choose one!!)? Explain why.
- Give an example in your own experience where you saw data turned into information. For example, Amazon takes individual purchases (data) makes suggestions about what you might want to buy (information).
- Have you ever used data to make informed decisions? For example, when you buy things on Amazon or eBay?