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Test your knowledge by answering the Machine Learning Interview Questions Quiz (Basic Level)

Machine Learning Basics Interview Questions Quiz

Test your knowledge by answering the Machine Learning Interview Questions Quiz (Basic Level)

1 / 20

What is the primary goal of supervised learning?

2 / 20

Which of the following is an example of a classification problem?

3 / 20

What does the term 'overfitting' mean in machine learning?

4 / 20

Which algorithm is commonly used for regression tasks?

5 / 20

What does 'k' represent in k-Nearest Neighbors (k-NN)?

6 / 20

What is the purpose of a validation set?

7 / 20

Which of the following is a loss function for regression?

8 / 20

Which metric is used to evaluate a classification model?

9 / 20

Which method is used to prevent overfitting in decision trees?

10 / 20

What is the role of the 'learning rate' in gradient descent?

11 / 20

Which algorithm is best suited for clustering?

12 / 20

What is the output of a linear regression model?

13 / 20

What is the bias-variance tradeoff in machine learning?

14 / 20

What is the purpose of feature scaling?

15 / 20

Which technique combines predictions from multiple models?

16 / 20

Which type of machine learning does not require labeled data?

17 / 20

What does 'one-hot encoding' do?

18 / 20

Which of the following is an ensemble learning method?

19 / 20

What is the purpose of the confusion matrix?

20 / 20

Which type of neural network is best suited for sequential data?

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