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GIAC Machine Learning Engineer Sample Questions (Q32-Q37):

NEW QUESTION # 32
You are tasked with building a classification model to predict whether customers will purchase a product based on their browsing behavior. You decide to use a Random Forest classifier. After training the model, you notice that the training accuracy is very high, but the validation accuracy is much lower.
What might be causing this, and how can you improve the model's generalization?
Response:

A. The model is likely overfitting to the training data; applying cross-validation and reducing the number of trees in the forest or using regularization techniques can help improve the generalization to unseen data
B. The features are not useful; removing all but one feature will reduce overfitting
C. The training data is too large; reducing the training set size will improve the model's performance
D. The model is underfitting the data; increasing the number of features and trees will improve performance

Answer: A

NEW QUESTION # 33
What is 'natural language processing' (NLP) in the context of machine learning?
Response:

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

Answer: B

NEW QUESTION # 34
Which Python function from the Pandas library is used to load data from a CSV file?
Response:

A. pd.read_csv()
B. np.load()
C. tf.load_model()
D. plt.load()

Answer: A

NEW QUESTION # 35
Which statistics are commonly used to summarize a dataset?
(Choose two)
Response:

A. Confusion matrix
B. Mean
C. Median
D. P-value

Answer: B,C

NEW QUESTION # 36
What is a common use of CNNs in image processing?
Response:

A. Data storage optimization
B. Audio signal processing
C. Sequence prediction
D. Feature extraction

Answer: D

NEW QUESTION # 37
......

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