QUESTION 66
What is the difference between simple linear regression and multiple linear regression?
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QUESTION 67
Which of the following metrics is commonly used to evaluate the performance of a regression model?
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QUESTION 68
Which of the following are common applications of Bayes’ Theorem in machine learning?
(Choose two)
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QUESTION 69
What is not a typical use case for CNNs in image processing?
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QUESTION 70
Which of the following are characteristics of hierarchical clustering?
(Choose two)
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QUESTION 71
In the context of machine learning, what is a ‘loss function’ used for?
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QUESTION 72
Which Python library is most commonly used for data manipulation in machine learning?
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QUESTION 73
What is the purpose of a validation set in machine learning?
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QUESTION 74
You are using a CNN to classify images in a dataset. After several epochs of training, you notice that the model performs well on the training set but poorly on the validation set. This suggests overfitting.
What steps should you take to improve the generalization of the model?
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QUESTION 75
What is a primary goal of data visualization in machine learning?
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QUESTION 76
In a fully connected neural network, what is the primary role of the activation function?
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QUESTION 77
Which techniques can be used to improve the performance of a linear regression model?
(Choose two)
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QUESTION 78
What is the main use of the NumPy library in Python for machine learning?
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QUESTION 79
What is a common use of CNNs in image processing?
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QUESTION 80
How does ‘L1 regularization’ differ from ‘L2 regularization’ in machine learning?
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QUESTION 81
In machine learning, what does ‘pruning’ a decision tree involve?
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QUESTION 82
Your cybersecurity team is tasked with detecting anomalies in network traffic that may indicate malicious activity. You decide to use an autoencoder for this task. After training the autoencoder on normal network traffic data, you notice that it is not accurately detecting anomalies.
What are the next steps you should take to improve the performance of the autoencoder?
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QUESTION 83
Which of the following are common activation functions used in neural networks?
(Choose two)
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QUESTION 84
In machine learning, which of the following is an example of applying probability theory?
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QUESTION 85
Which loss function is typically used for regression problems?
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QUESTION 86
What does ‘root mean squared error’ (RMSE) measure in regression models?
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QUESTION 87
What is the main use of the ‘sigmoid’ activation function in neural networks?
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QUESTION 88
Which statistic is used to measure the relationship between two variables?
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QUESTION 89
What does Bayes’ Theorem provide in the context of machine learning?
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QUESTION 90
What is the main purpose of the matplotlib library in Python for machine learning?
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