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GIAC Machine Learning Engineer Sample Questions:
1. In machine learning, what is 'bias-variance tradeoff'?
Response:
A) The tradeoff between the learning rate and the number of epochs
B) The balance between the number of features and the size of the dataset
C) The compromise between the model's ability to generalize and its accuracy on training data
D) The relationship between the model's complexity and its performance on unseen data
2. What is the primary use of 'k-fold cross-validation' in machine learning?
Response:
A) To select the most important features of the dataset
B) To optimize the hyperparameters of the model
C) To assess the model's performance on different subsets of the data
D) To increase the size of the training dataset
3. Which of the following are advantages of using Support Vector Machines (SVM) for classification tasks?
(Choose two )
Response:
A) Works well when there is a clear margin of separation between classes
B) Effective in high-dimensional spaces
C) Is highly interpretable and easy to visualize
D) Performs well with large amounts of missing data
4. Which Python function from the Pandas library is used to load data from a CSV file?
Response:
A) tf.load_model()
B) plt.load()
C) pd.read_csv()
D) np.load()
5. What is the purpose of inferential statistics in machine learning?
Response:
A) To visualize complex datasets
B) To classify data into different categories
C) To make predictions about a population based on a sample
D) To describe the basic features of data
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: A,B | Question # 4 Answer: C | Question # 5 Answer: C |





