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GIAC Machine Learning Engineer Sample Questions:

1. What is the role of padding in a convolutional layer?
Response:

A) To increase the number of parameters in the model
B) To prevent overfitting
C) To normalize the inputs
D) To preserve the spatial dimensions of the input data

2. Which techniques are commonly used to optimize neural networks during training?
(Choose two)
Response:

A) Stochastic Gradient Descent
B) Softmax activation function
C) Adam optimizer
D) Data augmentation

3. In the context of machine learning, what is 'overfitting'?
Response:

A) A condition where the model performs well on the training data but poorly on new, unseen data
B) The use of too many features in the model
C) A situation where the model is too simple to capture the complexity of the data
D) The process of training a model with insufficient data

4. P-values in hypothesis testing are used to:
Response:

A) Estimate the probability of observing the data given the null hypothesis is true
B) Calculate the mean of the data sample
C) Visualize the distribution of data
D) Determine the practical significance of results

5. What is the main purpose of the matplotlib library in Python for machine learning?
Response:

A) Data visualization
B) Statistical data analysis
C) Deep learning model building
D) Database management

Solutions: