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ML Review Quiz: Data
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Features and Labels
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Our data can typically be split into two parts: the features, some easy to measure attributes of each data point, and the data points' costly labels, which we would like to predict. Match these synonymous terms correctly:
6 points
Feature
Label
Input
y
Independent Variable
Output
Dependent Variable
X
Feature
Label
Input
y
Independent Variable
Output
Dependent Variable
X
You work at a company that manufactures scooters. Which of the following are examples of unstructured data? (Select all that apply.)
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2 points
Pictures of the scooters
The maximum speed of each scooters
Audio files of the engine sound of the scooters
The number of scooters sold per week over the past year
Required
Which of these statements regarding data acquisition do you agree with?
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1 point
Only structured data is valuable; ML cannot process unstructured data.
It doesn't matter how data is acquired. The more data, the better.
It doesn't help to give data to an AI team, because they can always produce whatever they need by themselves.
Some types of data are more valuable than others; working with an AI team can help you figure out what data to acquire.
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