GMLE EXAM ACTUAL QUESTIONS, GMLE FLEXIBLE LEARNING MODE

GMLE Exam Actual Questions, GMLE Flexible Learning Mode

GMLE Exam Actual Questions, GMLE Flexible Learning Mode

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Tags: GMLE Exam Actual Questions, GMLE Flexible Learning Mode, GMLE Valid Test Syllabus, Valid GMLE Real Test, GMLE Reliable Study Questions

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GIAC Machine Learning Engineer Sample Questions (Q118-Q123):

NEW QUESTION # 118
Which loss function is typically used for regression problems?
Response:

  • A. Mean Squared Error (MSE)
  • B. Cross-entropy loss
  • C. Hinge loss
  • D. Kullback-Leibler divergence

Answer: A


NEW QUESTION # 119
What is the primary purpose of clustering in unsupervised machine learning?
Response:

  • A. To reduce the dimensionality of the data
  • B. To improve the accuracy of supervised learning models
  • C. To group similar data points without predefined labels
  • D. To predict future data points based on historical data

Answer: C


NEW QUESTION # 120
In machine learning, what is 'feature engineering'?
Response:

  • A. The process of choosing the right machine learning model
  • B. The visualization of data features
  • C. The selection of the best features for model training
  • D. The creation and optimization of new features from existing data

Answer: D


NEW QUESTION # 121
What is the primary benefit of using the 'early stopping' technique in training machine learning models?
Response:

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

Answer: D


NEW QUESTION # 122
In the context of deep learning, what is a 'convolutional layer' primarily used for?
Response:

  • A. To accelerate the training process of the network
  • B. To reduce the size of the neural network
  • C. To classify input data into different categories
  • D. To extract features from input data like images

Answer: D


NEW QUESTION # 123
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