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GIAC Machine Learning Engineer Sample Questions:

1. What is the purpose of inferential statistics in machine learning?
Response:

A) To visualize complex datasets
B) To describe the basic features of data
C) To classify data into different categories
D) To make predictions about a population based on a sample

2. Which metric is commonly used to evaluate the performance of a classification model?
Response:

A) Accuracy
B) Mean Absolute Error (MAE)
C) R-squared
D) Root Mean Squared Error (RMSE)

3. What is the main goal of cluster analysis in unsupervised learning?
Response:

A) Group similar data points together
B) Predict the outcome of a dependent variable
C) Find the mean of a dataset
D) Reduce the dimensionality of data

4. Which activation function is typically used in the output layer of a neural network for binary classification?
Response:

A) Softmax
B) Sigmoid
C) ReLU
D) Tanh

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

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

Solutions: