1. How Data Science made Twitter a Top Social Media Channel? 2. How does Netflix used data science to improve its recommendation problem?
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1. How Data Science made Twitter a Top Social Media Channel?
2. How does Netflix used data science to improve its recommendation problem?
Step by step
Solved in 3 steps
- Do you agree that our data is the product (the exchange coin between us and the tech companies for getting the free service of social networks)? What do you think are or could be, the consequences of turning people (or their data) into products?5. What is the Difference Between Data Science and Machine Learning?How has google maps "street view" created privacy and other legal issues?
- Discuss !What are the basic steps to writing a research paper? Write them in order. 2. Homelessness, Computer Games, Poverty - these topics are too broad for a research paper. How can you appropriately narrow down each topic ? 3. What would your research question be about the topics listed above ?Write ONE question for each.Is there an ethical dilemma posed by big data?
- 1. Would Wikipedia be a good source to cite for a scholarly paper? Why or why not? Hint: Consider primary (as opposed to secondary) sources when conducting research 2. How has Wikipedia evolved to address some of the characteristics of High-Quality Information (See the characteristics of high-quality information below); Can you provide some examples? 3. Could we apply some of the tools and materials from class to analyze the online, encyclopedia business? What might this look like? 4. What could be the future of Wikipedia? What might it look like? 5. How are new Wikipedia entries vetted for information quality and relevance? 6. What could Wikipedia do to help perpetuate competitive advantage and viability in the long run? How could Al help Wikipedia?What is data analytics in artificial intelligence?What do you think of e-mail? How many clicks are there between point A and point B in an email? Keep track of how much you grasp. When and why is it necessary to draw a line of differentiation? Consider the level of accuracy offered by each model (or abstraction).