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GIAC Machine Learning Engineer Sample Questions:

1. What is the main purpose of the 'softmax' function in neural networks?
Response:

A) To convert the output of the network into probability distributions
B) To introduce non-linearity into the network
C) To normalize the input data
D) To speed up the computation in neural networks

2. What is the main use of the 'sigmoid' activation function in neural networks?
Response:

A) To speed up the training process
B) To normalize the input data
C) To transform the output into a probability
D) To introduce non-linearity into the model

3. Which of the following is a data manipulation technique commonly applied to prepare data for machine learning models?
Response:

A) Overfitting
B) Normalization
C) Hyperparameter tuning
D) Data augmentation

4. In the context of machine learning, what is a 'loss function' used for?
Response:

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

5. What does the learning rate primarily affect in neural network training?
Response:

A) The size of the input data
B) The type of function the network can learn
C) The number of layers in the network
D) The speed at which the network learns

Solutions: