
Optimization
Authored by Jake Catron
Instructional Technology
Professional Development

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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following gradient descent methods is used to compute the entire dataset?
None of the options are correct
Mini-batch gradient descent
Batch gradient descent
Gradient descent
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
For the formula used to model the relationship i.e. y = mx + b, what does ‘m’ stand for?
None of the options are correct
It refers to a bias term which can be used for regression and it captures the amount of change we've observed in our label in response to a small change in our feature
It captures the amount of change we've observed in our label in response to a small change in our feature
It refers to a bias term which can be used for regression
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following loss functions is used for classification problems?
None of the options are correct
MSE
Cross entropy
Both MSE and Cross entropy
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the basic steps in an ML workflow (or process)?
All options are correct
Perform statistical analysis and initial visualization
Collect data
Check for anomalies, missing data and clean the data
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following are benefits of Performance metrics over loss functions?
Performance metrics are easier to understand
Performance metrics are directly connected to business goals
Performance metrics are easier to understand and are directly connected to business goals
None of the options are correct
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