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GIAC Machine Learning Engineer Sample Questions (Q87-Q92):
NEW QUESTION # 87
What does the term 'boosting' refer to in the context of machine learning algorithms?
Response:
- A. Combining several weak models to form a strong model
- B. Sequentially building models to correct the errors of previous ones
- C. Both B and C
- D. Decreasing the computational complexity of models
Answer: C
NEW QUESTION # 88
What does the term 'epoch' refer to in the context of training a deep learning model?
Response:
- A. The process of tuning hyperparameters
- B. A single iteration over the entire dataset
- C. The final phase of model training
- D. The initial phase of model training
Answer: B
NEW QUESTION # 89
What refers to models capturing noise in the training data as if it were a true signal in supervised learning models?
Response:
- A. Models performing equally on training and test data
- B. Overfitting
- C. Models that are too simplistic to capture underlying patterns
- D. The process of training models on large datasets
Answer: B
NEW QUESTION # 90
In machine learning, what is 'model validation'?
Response:
- A. The process of training the model
- B. The technique of testing the model on unseen data
- C. The method of improving the model's performance
- D. The practice of combining multiple models
Answer: B
NEW QUESTION # 91
In machine learning, what does 'pruning' a decision tree involve?
Response:
- A. Removing branches to reduce complexity and overfitting
- B. Adding more branches to the tree
- C. Increasing the depth of the tree
- D. Splitting the tree into multiple smaller trees
Answer: A
NEW QUESTION # 92
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