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GIAC Machine Learning Engineer Sample Questions:

1. What does 'grid search' refer to in hyperparameter tuning?
Response:

A) A technique to search exhaustively through a specified subset of hyperparameters
B) A method to visualize the performance of different models
C) The process of randomly selecting hyperparameters for testing
D) A strategy for reducing the number of hyperparameters

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

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

3. What refers to models capturing noise in the training data as if it were a true signal in supervised learning models?
Response:

A) Overfitting
B) Models performing equally on training and test data
C) The process of training models on large datasets
D) Models that are too simplistic to capture underlying patterns

4. What is 'natural language processing' (NLP) in the context of machine learning?
Response:

A) A method for improving the accuracy of neural networks
B) The process of converting text data into numerical data
C) The field that focuses on the interaction between computers and human language
D) A technique for training models on time-series data

5. What is not a typical use case for CNNs in image processing?
Response:

A) Facial recognition
B) Image classification
C) Natural language processing
D) Object detection

Solutions: