GMLE Test Answers - GIAC Machine Learning Engineer Test Torrent & GMLE Guide Torrent

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GIAC Machine Learning Engineer Sample Questions (Q65-Q70):

NEW QUESTION # 65
What does 'gradient boosting' refer to in ensemble learning?
Response:

A. A technique to decrease the training time of models
B. An approach to reduce the variance of the model
C. A method of combining weak learners to create a strong learner
D. A strategy to reduce the complexity of models

Answer: C

NEW QUESTION # 66
In machine learning, what does 'ensemble learning' refer to?
Response:

A. Reducing the dimensionality of the input data
B. Combining multiple learning algorithms to improve performance
C. Implementing deep learning models
D. Using a single algorithm to train models

Answer: B

NEW QUESTION # 67
Which techniques can be used to improve the performance of a linear regression model?
(Choose two)
Response:

A. Adding regularization, such as L1 (Lasso) or L2 (Ridge)
B. Reducing the dataset size
C. Increasing the number of decision trees
D. Including interaction terms between variables

Answer: A,D

NEW QUESTION # 68
What is a key step in preprocessing data for machine learning?
Response:

A. Simplifying the model architecture
B. Increasing the size of the dataset artificially
C. Normalizing or standardizing the data
D. Selecting a suitable machine learning algorithm

Answer: C

NEW QUESTION # 69
The term 'convolution' in CNNs refers to:
Response:

A. The process of combining multiple neural networks
B. A specialized neural network layer for image processing
C. A function applied to reduce the size of the data
D. A technique for accelerating network training

Answer: B

NEW QUESTION # 70
......

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