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GIAC Machine Learning Engineer Sample Questions:

1. In a regression model, the mean squared error (MSE) loss function measures:
Response:

A) The proportion of variance explained by the model
B) The total sum of squared residuals
C) The average of absolute errors
D) The average of the squares of the differences between actual and predicted values

2. Which two types of probabilities are essential in machine learning applications?
(Choose two)
Response:

A) Marginal probability
B) Absolute probability
C) Conditional probability
D) Uncertainty probability

3. What are correlation matrices useful for in data exploration and visualization?
Response:

A) Determining the accuracy of a model
B) Visualizing geographical data
C) Understanding relationships between pairs of variables
D) Identifying missing data

4. In machine learning, what is a 'Support Vector Machine' (SVM) primarily used for?
Response:

A) Classification and regression tasks
B) Dimensionality reduction and feature extraction
C) Clustering and grouping similar data points
D) Time-series forecasting and sequence prediction

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

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

Solutions: