InterviewSolution
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InterviewSolution
This section includes InterviewSolutions, each offering curated multiple-choice questions to sharpen your knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
What is the name of the function that takes the input and maps it to the output variable called? |
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Answer» What is the name of the function that takes the INPUT and MAPS it to the OUTPUT variable called? |
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| 2. |
What measures the extent to which the predictions change between various realizations of the model? |
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Answer» What MEASURES the extent to which the predictions change between VARIOUS realizations of the MODEL? |
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| 3. |
Which of the following option/options are the advantages of SQLite? |
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Answer» Which of the following option/options are the advantages of SQLite? |
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| 4. |
What is the Learning Technique in which the right answer is given for each example in the data called? |
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Answer» What is the Learning Technique in which the right answer is GIVEN for each EXAMPLE in the data called? |
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| 5. |
How are the parameters updated during Gradient Descent process? |
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Answer» How are the PARAMETERS updated during Gradient Descent process? |
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| 6. |
I have a scenario where my hypothesis fits my training set well but fails to generalize for the test set. |
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Answer» I have a scenario where my hypothesis fits my training set well but fails to generalize for the TEST set. |
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| 7. |
For ____________, the error is calculated by finding the sum of squared distance between actual and predicted values. |
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Answer» For ____________, the error is calculated by finding the sum of squared distance between ACTUAL and predicted values. |
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| 8. |
____________ function is used as a mapping function for classification problems. |
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Answer» ____________ function is USED as a mapping function for classification problems. |
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| 9. |
____________ controls the magnitude of a step taken during Gradient Descent. |
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Answer» ____________ controls the magnitude of a step taken during GRADIENT Descent. |
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| 10. |
When an ML Model has a high bias, getting more training data will help in improving the model. |
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Answer» When an ML Model has a high bias, getting more training data will HELP in improving the model. |
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| 11. |
____________ measures how far the predictions are from the actual values. |
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Answer» ____________ measures how far the PREDICTIONS are from the actual values. |
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| 12. |
For ____________, the error is determined by getting the proportion of values misclassified by the model. |
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Answer» For ____________, the error is DETERMINED by getting the proportion of VALUES misclassified by the model. |
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| 13. |
What is the range of the output values for a sigmoid function? |
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Answer» What is the range of the OUTPUT values for a SIGMOID FUNCTION? |
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| 14. |
____________ is the line that separates y = 0 and y = 1 in a logistic function. |
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Answer» ____________ is the line that separates y = 0 and y = 1 in a LOGISTIC function. |
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