exam data

Question 1

A crucial question when identifying Business Objectives, in order to ensure a meaningful project, is to answer.
Select one alternative:

Accepted Answer

how the result of the project is going to be used

Answer

how many hours of work that is required

Answer

what machine learning algorithms to use

Question 2

The business objectives are provided by the business stakeholders without interference by the analyst.

Answer

true

Question 3

Data analysis tasks are technical activities that can be described independently of particular business goals

Answer

true

Question 4

You have to understand the underlying business process and business goals to be successful with your data analysis tasks.

Answer

true

Question 5

Data analysis goals must be expressed as something measurable

Answer

true

Question 6

Data analysis is always limited by the amount of data that is available.

Answer

true

Question 7

Which of the alternatives below consists of examples of Nominal data: Select one alternative:

Accepted Answer

Countries, Eye color, Zip codes

Answer

Calendar dates, , Soccer leagues, Performance indexes

Answer

Temperature, Passed time, Visitor counts

Answer

Taste ratings, Grades, Exam scores

Question 8

When some numerical attributes are missing data, it is always a good idea to exchange it with some fixed value representing that data is missing.

Answer

true

Question 9

Which of the following statements concerning data aggregation are true?
Select one or more alternatives

Accepted Answer

The noise in the data is reduced when the data are aggregated.

Accepted Answer

Some information in the data will be lost when the data are aggregated.

Answer

Data aggregation generates more data instances that can be used for modeling.

Answer

Models will always perform better on aggregated data.

Question 10

How to aggregate an attribute must be decided for each individual attribute. Select one alternative:

Answer

true

Question 11

The 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.

Answer

true

Question 12

Which of the following describes what binning of data is:

Accepted Answer

The conversion of continuous data into discrete data.

Answer

the scaling of data into a common domain.

Answer

Storing data in a binary file format.

Answer

The removal of garbage from the data.

Question 13

How data is collected does not affect the value for analysis

Answer

true

Question 14

All hypotheses can be tested against historical data

Answer

true

Question 15

Oversimplification is an example of Occam's Razor

Answer

true

Question 16

Any explanation should strive to reduce the number of causes to the bare minimum sufficient for explaining the phenomenon

Answer

true

Question 17

The error rate on the training set is sometimes referred to as the apparent error rate

Answer

true

Question 18

Cross validation evaluates the learning technique and its parameters, not a specific model

Answer

true

Question 19

Decision trees works best when attributes are correlated

Answer

true

Question 20

Bagging and boosting are two different strategies for building ensembles

Answer

true

Question 21

If 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

Answer

true

Question 22

A trained Neural Network is a complex function mapping input values to target estimates.

Answer

true

exam data

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