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GIAC Machine Learning Engineer Sample Questions (Q128-Q133):

NEW QUESTION # 128
What does the term 'boosting' refer to in the context of machine learning algorithms?
Response:

A. Sequentially building models to correct the errors of previous ones
B. Both B and C
C. Combining several weak models to form a strong model
D. Decreasing the computational complexity of models

Answer: B

NEW QUESTION # 129
In the context of machine learning, what is a 'loss function' used for?
Response:

A. To evaluate the performance of the model
B. To select the most important features of the data
C. To reduce the memory usage of the model
D. To increase the speed of training

Answer: A

NEW QUESTION # 130
In machine learning, what does 'pruning' a decision tree involve?
Response:

A. Adding more branches to the tree
B. Removing branches to reduce complexity and overfitting
C. Splitting the tree into multiple smaller trees
D. Increasing the depth of the tree

Answer: B

NEW QUESTION # 131
Which algorithm is best suited for handling time-series data?
Response:

A. Decision Trees
B. K-Means Clustering
C. Recurrent Neural Networks
D. Convolutional Neural Networks

Answer: C

NEW QUESTION # 132
Which Python function from the Pandas library is used to load data from a CSV file?
Response:

A. plt.load()
B. np.load()
C. pd.read_csv()
D. tf.load_model()

Answer: C

NEW QUESTION # 133
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