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23 Apr 2025 01:21 PM
How can machine learning practitioners address privacy concerns when handling sensitive data?
B
Ignore sensitive features
C
Implement differential privacy
D
Increase model complexity
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17 Apr 2025 03:18 PM
What is the main challenge with algorithmic decision-making in sensitive domains like healthcare and law enforcement?
B
Ensuring fairness and accountability
D
Minimizing computational cost
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17 Apr 2025 03:18 PM
Why is transparency important in machine learning models?
A
To improve model accuracy
C
To explain model decisions
D
To reduce model complexity
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17 Apr 2025 03:17 PM
What does bias in machine learning models refer to?
B
Prejudice in data or decisions
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16 Apr 2025 11:09 AM
What is a primary ethical concern in machine learning?
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16 Apr 2025 11:09 AM
A reinforcement learning model is slow to converge. What could speed up the training process?
B
Decrease the discount factor
C
Increase the learning rate
D
Increase the number of actions
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16 Apr 2025 11:04 AM
An agent in a reinforcement learning model is not exploring enough. What could help resolve this?
A
Decrease the learning rate
B
Increase the exploration rate (epsilon)
C
Decrease the reward function
D
Increase the discount factor
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16 Apr 2025 10:49 AM
How do you update the Q-value in the Q-learning algorithm?
B
By using the Bellman equation
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15 Apr 2025 11:14 AM
Which algorithm in reinforcement learning is used to optimize the action-value function?
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15 Apr 2025 11:13 AM
Which Python library is commonly used to implement reinforcement learning algorithms?
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15 Apr 2025 11:13 AM
What is the trade-off between exploration and exploitation in reinforcement learning?
A
Exploring only actions that maximize reward
C
Balancing between trying new actions and maximizing known rewards
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14 Apr 2025 11:42 AM
What is the role of the agent in reinforcement learning?
C
To take actions based on policy
D
To process the environment data
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14 Apr 2025 11:40 AM
What is the goal of reinforcement learning?
A
To predict continuous values
C
To maximize cumulative reward
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14 Apr 2025 11:35 AM
A Random Forest model is overfitting on the training data. What could resolve this?
A
Increase the number of estimators
B
Reduce the number of features
C
Increase the max_depth parameter
D
Reduce the number of trees
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11 Apr 2025 01:01 PM
How do you implement AdaBoost in Python using sklearn?
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11 Apr 2025 01:00 PM
Which function in sklearn is used to implement a Random Forest classifier?
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11 Apr 2025 01:00 PM
What is the role of weak learners in boosting?
A
To make accurate predictions
C
To correct mistakes from previous learners
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10 Apr 2025 12:36 PM
What is the key difference between bagging and boosting in ensemble learning?
A
Bagging focuses on reducing bias
B
Boosting focuses on reducing variance
C
Bagging trains models in parallel
D
Boosting uses a single model
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10 Apr 2025 12:35 PM
What is the main advantage of ensemble learning?
A
Reduces the number of features
B
Increases model complexity
C
Improves model performance by combining multiple models
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10 Apr 2025 12:34 PM
An SVM model is overfitting on the training data. What should be adjusted to mitigate this?
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