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GIAC Machine Learning Engineer Sample Questions:

1. What is Principal Component Analysis (PCA) a technique used for in unsupervised learning?
Response:

A) Clustering similar data points
B) Improving the accuracy of classification models
C) Reducing the dimensionality of data
D) Predicting future trends in data

2. Which Python library is commonly used for data manipulation and analysis in machine learning?
Response:

A) TensorFlow
B) Pandas
C) Keras
D) Matplotlib

3. What is the purpose of the backpropagation algorithm in neural networks?
Response:

A) To initialize weights and biases
B) To prevent overfitting in the model
C) To update the model parameters based on the error gradient
D) To generate the final predictions from the model

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

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

5. What is the difference between simple linear regression and multiple linear regression?
Response:

A) Simple linear regression uses two dependent variables, while multiple linear regression uses one
B) Simple linear regression has one independent variable, while multiple linear regression has two or more independent variables
C) Simple linear regression is used for classification, while multiple linear regression is used for clustering
D) There is no difference between them

Solutions: