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ML Exploring the Model Interview Questions and Answers
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ML Exploring the Model
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Q: Machine Learning Exploring the model MCQ Questions and Answers
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Apr 14, 2021
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ML Exploring the Model
by
SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
gradient-descent-process
logistic-function
classification-technique
regression
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Q: What measures the extent to which the predictions change between various realizations of the model?
answered
Apr 14, 2021
in
ML Exploring the Model
by
SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
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Q: Which of the following option/options are the advantages of SQLite?
answered
Apr 14, 2021
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ML Exploring the Model
by
SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
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Q: How are the parameters updated during Gradient Descent process?
answered
Apr 14, 2021
in
ML Exploring the Model
by
SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
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vote
Q: ____________ is the line that separates y = 0 and y = 1 in a logistic function.
answered
Apr 14, 2021
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ML Exploring the Model
by
SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
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vote
Q: What is the name of the function that takes the input and maps it to the output variable called?
answered
Apr 14, 2021
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ML Exploring the Model
by
SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
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Q: ____________ measures how far the predictions are from the actual values.
answered
Apr 14, 2021
in
ML Exploring the Model
by
SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
+1
vote
Q: What is the range of the output values for a sigmoid function?
answered
Apr 14, 2021
in
ML Exploring the Model
by
SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
+2
votes
Q: For an overfit data set the cross validation error will be much bigger than the training error.
answered
Apr 14, 2021
in
ML Exploring the Model
by
SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
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vote
Q: I have a scenario where my hypothesis fits my training set well but fails to generalize for the test set.
answered
Apr 14, 2021
in
ML Exploring the Model
by
SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
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vote
Q: For ____________, the error is calculated by finding the sum of squared distance between actual and predicted values.
answered
Apr 14, 2021
in
ML Exploring the Model
by
SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
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Q: For ____________, the error is determined by getting the proportion of values misclassified by the model.
answered
Apr 14, 2021
in
ML Exploring the Model
by
SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
+1
vote
Q: What is the Learning Technique in which the right answer is given for each example in the data called?
answered
Apr 14, 2021
in
ML Exploring the Model
by
SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
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vote
Q: ____________ function is used as a mapping function for classification problems.
answered
Apr 14, 2021
in
ML Exploring the Model
by
SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
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vote
Q: When an ML Model has a high bias, getting more training data will help in improving the model.
answered
Apr 14, 2021
in
ML Exploring the Model
by
SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
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vote
Q: ____________ controls the magnitude of a step taken during Gradient Descent.
answered
Apr 14, 2021
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ML Exploring the Model
by
SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
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