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Optimization

Authored by Jake Catron

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Optimization
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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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