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Questions in this quiz (22)
1A crucial question when identifying Business Objectives, in order to ensure a meaningful project, is to answer.
Select one alternative:- Ahow the result of the project is going to be used
- Bhow many hours of work that is required
- Cwhat machine learning algorithms to use
2The business objectives are provided by the business stakeholders without interference by the analyst.
- ATrue
- BFalse
3Data analysis tasks are technical activities that can be described independently of particular business goals
- ATrue
- BFalse
4You have to understand the underlying business process and business goals to be successful with your data analysis tasks.
- ATrue
- BFalse
5Data analysis goals must be expressed as something measurable
- ATrue
- BFalse
6Data analysis is always limited by the amount of data that is available.
- ATrue
- BFalse
7Which of the alternatives below consists of examples of Nominal data: Select one alternative:
- ACalendar dates, , Soccer leagues, Performance indexes
- BTemperature, Passed time, Visitor counts
- CCountries, Eye color, Zip codes
- DTaste ratings, Grades, Exam scores
8When some numerical attributes are missing data, it is always a good idea to exchange it with some fixed value representing that data is missing.
- ATrue
- BFalse
9Which of the following statements concerning data aggregation are true?
Select one or more alternatives- AData aggregation generates more data instances that can be used for modeling.
- BModels will always perform better on aggregated data.
- CThe noise in the data is reduced when the data are aggregated.
- DSome information in the data will be lost when the data are aggregated.
10How to aggregate an attribute must be decided for each individual attribute. Select one alternative:
- ATrue
- BFalse
11The outcome from a clustering algorithm depends heavily on if standardization is used as well as what kind of standardization that is used in the preprocessing step.
- ATrue
- BFalse
12Which of the following describes what binning of data is:
- Athe scaling of data into a common domain.
- BThe conversion of continuous data into discrete data.
- CStoring data in a binary file format.
- DThe removal of garbage from the data.
13How data is collected does not affect the value for analysis
- ATrue
- BFalse
14All hypotheses can be tested against historical data
- ATrue
- BFalse
15Oversimplification is an example of Occam's Razor
- ATrue
- BFalse
16Any explanation should strive to reduce the number of causes to the bare minimum sufficient for explaining the phenomenon
- ATrue
- BFalse
17The error rate on the training set is sometimes referred to as the apparent error rate
- ATrue
- BFalse
18Cross validation evaluates the learning technique and its parameters, not a specific model
- ATrue
- BFalse
19Decision trees works best when attributes are correlated
- ATrue
- BFalse
20Bagging and boosting are two different strategies for building ensembles
- ATrue
- BFalse
21If the relationship between the two classes in a binary problem is that it is an A if input 1 is smaller than input 2 and a B
otherwise, then a decision tree able to represent the relationship will be deep and bushy- ATrue
- BFalse
22A trained Neural Network is a complex function mapping input values to target estimates.
- ATrue
- BFalse
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- Description
- AI Master Data science Quiz on exam data, created by Anna Aljona Samuelsson on 09/12/2023.
- Author
- Anna Aljona Samuelsson
- Language
- English
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