1. What does a gradient descent algorithm do?

A. Determines the model error

B. Determines the least squares cost

C. Determines the minimum

D. Determines the maximum

2. What is the definition of supervised machine learning?

A. Learning a model based on a set of unlabeled examples

B. Learning a model based on a set of labeled examples

C. Assigning a meaningful placement of an element

D. Given an input, an estimation of a parameter is provided

3. Which Python command is used to load the tree module?

A. From tree import sklearn

B. Import sklearn from tree

C. Tree import from sklearn

D. From sklearn import tree

4. What does MSE calculate?

A. Classification

B. Entropy

C. Bias

D. Error

5. Which of the following is not a neural network layer?

A. Hidden layer

B. Input layer

C. Neural network layer

D. Bias layer

Answers:      1 (C), 2 (B), 3 (D), 4 (D), 5 (D)

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