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最新的 GIAC Cyber Defense GMLE 免費考試真題:

1. What is Random Forest an example of?
Response:

A) A reinforcement learning technique
B) An ensemble learning method
C) A neural network architecture
D) A clustering algorithm

2. What does 'gradient boosting' refer to in ensemble learning?
Response:

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

3. In deep learning, what is a 'neural network layer'?
Response:

A) The initial input data for the neural network
B) A set of algorithms for optimizing the model
C) A collection of neurons that process a set of input data
D) The final output of the neural network

4. What is the primary purpose of clustering in unsupervised machine learning?
Response:

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

5. What is the primary goal of supervised learning?
Response:

A) To learn a function that maps input data to known output labels
B) To identify hidden patterns in data without guidance
C) To group similar data points without labeled outputs
D) To cluster data into predefined categories

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