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Consider the following pairs:
1. Private Approach: Governments enforce MUL implementation requirements.
2. Exact Unlearning: This method completely eradicates the influence of specific data points from the model.
3. Public Approach: Data fiduciaries voluntarily adopt MUL algorithms.
4. Approximate Unlearning: Minimizes the impact of specific data on model predictions.
How many pairs given above are correctly matched?
- a)Only one pair
- b)Only three pairs
- c)Only two pairs
- d)All four pairs
Correct answer is option 'C'. Can you explain this answer?
Verified Answer
Consider the following pairs:1. Private Approach: Governments enforce ...
1. Private Approach: Governments enforce MUL implementation requirements. This pair is incorrectly matched. The private approach involves data fiduciaries voluntarily adopting MUL algorithms.
2. Exact Unlearning: This method completely eradicates the influence of specific data points from the model. This pair is correctly matched. Exact Unlearning indeed refers to completely removing the influence of specific data points.
3. Public Approach: Data fiduciaries voluntarily adopt MUL algorithms. This pair is incorrectly matched. The public approach involves governments enforcing MUL implementation requirements.
4. Approximate Unlearning: Minimizes the impact of specific data on model predictions. This pair is correctly matched. Approximate Unlearning focuses on minimizing the data's impact rather than entirely removing it.
Most Upvoted Answer
Consider the following pairs:1. Private Approach: Governments enforce ...
Understanding the Pairs
The pairs presented relate to the concepts of machine learning, data privacy, and model unlearning. Let's evaluate each pair for correctness.
1. Private Approach: Governments enforce MUL implementation requirements.
- This statement is partially correct. Governments may enforce regulations regarding data usage and privacy, but the specific implementation of Machine Unlearning (MUL) is typically guided by organizations and not strictly enforced by governments.
2. Exact Unlearning: This method completely eradicates the influence of specific data points from the model.
- This statement is correct. Exact unlearning aims to remove the impact of certain data points entirely, ensuring that the model behaves as if those data points were never included.
3. Public Approach: Data fiduciaries voluntarily adopt MUL algorithms.
- This statement is also correct. A public approach implies that organizations or data custodians take the initiative to implement MUL algorithms without government mandates, focusing on ethical data handling.
4. Approximate Unlearning: Minimizes the impact of specific data on model predictions.
- This statement is correct as well. Approximate unlearning does not completely remove the influence of specific data points but reduces their effect on the model's predictions.
Conclusion
- Therefore, the correctly matched pairs are:
- Exact Unlearning
- Public Approach
- Approximate Unlearning
Only the first pair is questionable, leading to the conclusion that three pairs are correctly matched.
Correct Answer
Thus, the correct answer is option 'C', as only two pairs are strictly accurate regarding their definitions and implications.
The pairs presented relate to the concepts of machine learning, data privacy, and model unlearning. Let's evaluate each pair for correctness.
1. Private Approach: Governments enforce MUL implementation requirements.
- This statement is partially correct. Governments may enforce regulations regarding data usage and privacy, but the specific implementation of Machine Unlearning (MUL) is typically guided by organizations and not strictly enforced by governments.
2. Exact Unlearning: This method completely eradicates the influence of specific data points from the model.
- This statement is correct. Exact unlearning aims to remove the impact of certain data points entirely, ensuring that the model behaves as if those data points were never included.
3. Public Approach: Data fiduciaries voluntarily adopt MUL algorithms.
- This statement is also correct. A public approach implies that organizations or data custodians take the initiative to implement MUL algorithms without government mandates, focusing on ethical data handling.
4. Approximate Unlearning: Minimizes the impact of specific data on model predictions.
- This statement is correct as well. Approximate unlearning does not completely remove the influence of specific data points but reduces their effect on the model's predictions.
Conclusion
- Therefore, the correctly matched pairs are:
- Exact Unlearning
- Public Approach
- Approximate Unlearning
Only the first pair is questionable, leading to the conclusion that three pairs are correctly matched.
Correct Answer
Thus, the correct answer is option 'C', as only two pairs are strictly accurate regarding their definitions and implications.
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Consider the following pairs:1. Private Approach: Governments enforce MUL implementation requirements.2. Exact Unlearning: This method completely eradicates the influence of specific data points from the model.3. Public Approach: Data fiduciaries voluntarily adopt MUL algorithms.4. Approximate Unlearning: Minimizes the impact of specific data on model predictions.How many pairs given above are correctly matched?a)Only one pairb)Only three pairsc)Only two pairsd)All four pairsCorrect answer is option 'C'. Can you explain this answer? for UPSC 2025 is part of UPSC preparation. The Question and answers have been prepared according to the UPSC exam syllabus. Information about Consider the following pairs:1. Private Approach: Governments enforce MUL implementation requirements.2. Exact Unlearning: This method completely eradicates the influence of specific data points from the model.3. Public Approach: Data fiduciaries voluntarily adopt MUL algorithms.4. Approximate Unlearning: Minimizes the impact of specific data on model predictions.How many pairs given above are correctly matched?a)Only one pairb)Only three pairsc)Only two pairsd)All four pairsCorrect answer is option 'C'. Can you explain this answer? covers all topics & solutions for UPSC 2025 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Consider the following pairs:1. Private Approach: Governments enforce MUL implementation requirements.2. Exact Unlearning: This method completely eradicates the influence of specific data points from the model.3. Public Approach: Data fiduciaries voluntarily adopt MUL algorithms.4. Approximate Unlearning: Minimizes the impact of specific data on model predictions.How many pairs given above are correctly matched?a)Only one pairb)Only three pairsc)Only two pairsd)All four pairsCorrect answer is option 'C'. Can you explain this answer?.
Consider the following pairs:1. Private Approach: Governments enforce MUL implementation requirements.2. Exact Unlearning: This method completely eradicates the influence of specific data points from the model.3. Public Approach: Data fiduciaries voluntarily adopt MUL algorithms.4. Approximate Unlearning: Minimizes the impact of specific data on model predictions.How many pairs given above are correctly matched?a)Only one pairb)Only three pairsc)Only two pairsd)All four pairsCorrect answer is option 'C'. Can you explain this answer? for UPSC 2025 is part of UPSC preparation. The Question and answers have been prepared according to the UPSC exam syllabus. Information about Consider the following pairs:1. Private Approach: Governments enforce MUL implementation requirements.2. Exact Unlearning: This method completely eradicates the influence of specific data points from the model.3. Public Approach: Data fiduciaries voluntarily adopt MUL algorithms.4. Approximate Unlearning: Minimizes the impact of specific data on model predictions.How many pairs given above are correctly matched?a)Only one pairb)Only three pairsc)Only two pairsd)All four pairsCorrect answer is option 'C'. Can you explain this answer? covers all topics & solutions for UPSC 2025 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Consider the following pairs:1. Private Approach: Governments enforce MUL implementation requirements.2. Exact Unlearning: This method completely eradicates the influence of specific data points from the model.3. Public Approach: Data fiduciaries voluntarily adopt MUL algorithms.4. Approximate Unlearning: Minimizes the impact of specific data on model predictions.How many pairs given above are correctly matched?a)Only one pairb)Only three pairsc)Only two pairsd)All four pairsCorrect answer is option 'C'. Can you explain this answer?.
Solutions for Consider the following pairs:1. Private Approach: Governments enforce MUL implementation requirements.2. Exact Unlearning: This method completely eradicates the influence of specific data points from the model.3. Public Approach: Data fiduciaries voluntarily adopt MUL algorithms.4. Approximate Unlearning: Minimizes the impact of specific data on model predictions.How many pairs given above are correctly matched?a)Only one pairb)Only three pairsc)Only two pairsd)All four pairsCorrect answer is option 'C'. Can you explain this answer? in English & in Hindi are available as part of our courses for UPSC.
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Consider the following pairs:1. Private Approach: Governments enforce MUL implementation requirements.2. Exact Unlearning: This method completely eradicates the influence of specific data points from the model.3. Public Approach: Data fiduciaries voluntarily adopt MUL algorithms.4. Approximate Unlearning: Minimizes the impact of specific data on model predictions.How many pairs given above are correctly matched?a)Only one pairb)Only three pairsc)Only two pairsd)All four pairsCorrect answer is option 'C'. Can you explain this answer?, a detailed solution for Consider the following pairs:1. Private Approach: Governments enforce MUL implementation requirements.2. Exact Unlearning: This method completely eradicates the influence of specific data points from the model.3. Public Approach: Data fiduciaries voluntarily adopt MUL algorithms.4. Approximate Unlearning: Minimizes the impact of specific data on model predictions.How many pairs given above are correctly matched?a)Only one pairb)Only three pairsc)Only two pairsd)All four pairsCorrect answer is option 'C'. Can you explain this answer? has been provided alongside types of Consider the following pairs:1. Private Approach: Governments enforce MUL implementation requirements.2. Exact Unlearning: This method completely eradicates the influence of specific data points from the model.3. Public Approach: Data fiduciaries voluntarily adopt MUL algorithms.4. Approximate Unlearning: Minimizes the impact of specific data on model predictions.How many pairs given above are correctly matched?a)Only one pairb)Only three pairsc)Only two pairsd)All four pairsCorrect answer is option 'C'. Can you explain this answer? theory, EduRev gives you an
ample number of questions to practice Consider the following pairs:1. Private Approach: Governments enforce MUL implementation requirements.2. Exact Unlearning: This method completely eradicates the influence of specific data points from the model.3. Public Approach: Data fiduciaries voluntarily adopt MUL algorithms.4. Approximate Unlearning: Minimizes the impact of specific data on model predictions.How many pairs given above are correctly matched?a)Only one pairb)Only three pairsc)Only two pairsd)All four pairsCorrect answer is option 'C'. Can you explain this answer? tests, examples and also practice UPSC tests.
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