Assignment 4

Assignment 4

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Question 1 of 10

1. Question
What is the primary goal of machine learning?
- a. To automate human tasks
- b. To learn from experience and improve performance
- c. To replace human decision-making
- d. To perform complex calculations
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Question 2 of 10

2. Question
Which type of learning involves providing a model with labeled training data?
- a. Supervised learning
- b. Unsupervised learning
- c. Reinforcement learning
- d. Semi-supervised learning
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Question 3 of 10

3. Question
In supervised learning, what are the labels associated with in the training data?
- a. Features
- b. Predictors
- c. Outcomes or responses
- d. Observations
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Question 4 of 10

4. Question
What is regression in supervised learning?
- a. A classification task
- b. A clustering task
- c. A prediction task for continuous values
- d. A dimensionality reduction task
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Question 5 of 10

5. Question
Which type of learning deals with unlabeled data and finding patterns or structures within it?
- a. Supervised learning
- b. Semi-supervised learning
- c. Unsupervised learning
- d. Reinforcement learning
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Question 6 of 10

6. Question
What is clustering in unsupervised learning?
- a. Assigning labels to data points
- b. Predicting a continuous value
- c. Grouping similar data points together
- d. Determining the optimal policy
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Question 7 of 10

7. Question
In reinforcement learning, what is a reward signal used for?
- a. To penalize the agent for incorrect actions
- b. To encourage exploration and learning
- c. To determine the optimal policy
- d. To provide labeled training data
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Question 8 of 10

8. Question
What is the role of an agent in reinforcement learning?
- a. The entity that provides rewards
- b. The environment in which learning takes place
- c. The model that makes predictions
- d. The decision-maker that interacts with the environment
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Question 9 of 10

9. Question
What is the purpose of feature scaling in the machine learning pipeline?
- a. To increase the model complexity
- b. To reduce the dimensionality of the data
- c. To standardize or normalize features to a similar scale
- d. To add new features to the dataset
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Question 10 of 10

10. Question
What is the final step in a typical machine learning pipeline?
- a. Feature extraction
- b. Model training
- c. Model evaluation
- d. Model deployment
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