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GIAC Machine Learning Engineer Sample Questions (Q80-Q85):

NEW QUESTION # 80
What is the primary benefit of using the 'early stopping' technique in training machine learning models?
Response:

A. To speed up the training process by reducing the number of iterations
B. To prevent overfitting by stopping the training when performance on a validation set starts to degrade
C. To increase the accuracy of the model on the training data
D. To optimize the hyperparameters automatically during training

Answer: B

NEW QUESTION # 81
P-values in hypothesis testing are used to:
Response:

A. Visualize the distribution of data
B. Determine the practical significance of results
C. Calculate the mean of the data sample
D. Estimate the probability of observing the data given the null hypothesis is true

Answer: D

NEW QUESTION # 82
You are working on a classification problem where you are using Bayes' Theorem to predict whether a new email is spam based on specific keywords. You have prior probabilities of an email being spam or not, and likelihoods for certain keywords appearing in spam emails.
How should you use Bayes' Theorem to calculate the posterior probability that the new email is spam?
Response:

A. Use the prior probabilities and likelihoods of the keywords appearing in both spam and non-spam emails to calculate the posterior probability that the email is spam
B. Use the frequency of keywords only in spam emails to calculate the probability
C. Manually review the email to classify it as spam or not
D. Ignore the likelihoods and use only the prior probability

Answer: A

NEW QUESTION # 83
What does 'root mean squared error' (RMSE) measure in regression models?
Response:

A. The variance explained by the model
B. The standard deviation of the residuals
C. The square root of the average of squared differences between prediction and actual observa
D. The average of the absolute errors

Answer: C

NEW QUESTION # 84
Which of the following best describes standard deviation?
Response:

A. It is the average of all the values in the dataset
B. It represents the most frequent value in a dataset
C. It is the difference between the largest and smallest values
D. It measures the spread of data points from the mean

Answer: D

NEW QUESTION # 85
......

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