Knowledge check

1.

You want to create a model to predict the cost of heating an office building based on its size in square feet and the number of employees working there. What kind of machine learning problem is this?

Regression

Classification

Clustering

2.

You need to evaluate a classification model. Which metric can you use?

Mean squared error (MSE)

Precision

Silhouette

3.

In deep learning, what is the purpose of a loss function?

To remove data for which no known label values are provided

To evaluate the aggregate difference between predicted and actual label values

To calculate the cost of training a neural network rather than a statistical model

4.

What does automated machine learning in Azure Machine Learning enable you to do?

Automatically deploy new versions of a model as they're trained

Automatically provision Azure Machine Learning workspaces for new data scientists in an organization

Automatically run multiple training jobs using different algorithms and parameters to find the best model

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