D204 - MW Data Analytics Tools and Techniques Latest 2022 Rated A

Document Content and Description Below

D204 - MW Data Analytics Tools and Techniques Latest 2022 Rated A What are the defining characteristics of open data? ✔✔data that is free to use with no cost and no restrictions What is the pr... inciple of informed consent in research? ✔✔Potential research participants have to be given enough information about the goals, methods, and applications of the research project so they can decide whether they want to participate. Self-generated data refers to what practice? ✔✔programming computers to engage with themselves to create their own training data While it is possible to gather vast amounts of data through passive collection, researchers still need to be concerned about representativeness. Why does this matter? ✔✔Without representative data from a wide range of respondents in diverse situations, the results will not generalize well. What practice does "data scraping" refer to? ✔✔Data scraping refers to the process of extracting data from formats that were not specifically designed for data sharing. What kind of data can be accessed with APIs? ✔✔both proprietary and open data One common method of gathering new data is A/B testing. What does this refer to? ✔✔A/B testing is a randomized experiment in which people visiting a website see one of two different versions. The response rates are then compared to choose the most effective version of the website. What is potentially a major advantage of using in-house data? ✔✔You may be able to talk with the people who created the datasets. How do expert systems mimic the decision-making of experts? ✔✔by explicitly listing decisions and outcomes in a logical chain like a flow chart What does it mean that algorithms like neural networks develop "implicit" rules? ✔✔It means that the rules, or the basis by which the algorithm reaches its decision, may not be easy to describe to humans. Why have expert systems not progressed as much as machine learning in the development of decision-making systems? ✔✔Expert systems quickly encounter the "combinatorial explosion" in which there are simply too many possibilities to enumerate them all. How do decision tree provide rules for decision-making? ✔✔Decision tree explicitly define binary decisions at each step in the data to reach the outcome; these decisions can then be used in other contexts. Statistical applications like SPSS or jamovi are useful to data projects in what way? ✔✔Their point-and-click interfaces make common analyses easier for non-specialists to conduct. According to the video, why are spreadsheets so important to data science? ✔✔They are the "universal data container." What is the purpose of a "package" in a programming language like Python or R? ✔✔Packages are collections of code that give additional functiona [Show More]

Last updated: 1 year ago

Preview 1 out of 7 pages