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Optimization

Total questions: 5

Worksheet time: 3mins

Name
Class
Date
1.

Which of the following gradient descent methods is used to compute the entire dataset?

a)

None of the options are correct

b)

Mini-batch gradient descent

c)

Batch gradient descent

d)

Gradient descent

2.

For the formula used to model the relationship i.e. y = mx + b, what does ‘m’ stand for?

a)

None of the options are correct

b)

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

c)

It captures the amount of change we've observed in our label in response to a small change in our feature

d)

It refers to a bias term which can be used for regression

3.

Which of the following loss functions is used for classification problems?

a)

None of the options are correct

b)

MSE

c)

Cross entropy

d)

Both MSE and Cross entropy

4.

What are the basic steps in an ML workflow (or process)?

a)

All options are correct

b)

Perform statistical analysis and initial visualization

c)

Collect data

d)


Check for anomalies, missing data and clean the data

5.

Which of the following are benefits of Performance metrics over loss functions?

a)

Performance metrics are easier to understand

b)

Performance metrics are directly connected to business goals

c)

Performance metrics are easier to understand and are directly connected to business goals

d)

None of the options are correct