Free GIAC GMLE Exam Dumps Questions & Answers

What is the primary benefit of using the 'early stopping' technique in training machine learning models?
Response:

• A.To speed up the training process by reducing the number of iterations
• B.To prevent overfitting by stopping the training when performance on a validation set starts to degrade
• C.To optimize the hyperparameters automatically during training
• D.To increase the accuracy of the model on the training data

Which of the following is a data manipulation technique commonly applied to prepare data for machine learning models?
Response:

• A.Normalization
• B.Overfitting
• C.Data augmentation
• D.Hyperparameter tuning

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

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

In the context of machine learning, what is 'overfitting'?
Response:

• A.A situation where the model is too simple to capture the complexity of the data
• B.A condition where the model performs well on the training data but poorly on new, unseen data
• C.The use of too many features in the model
• D.The process of training a model with insufficient data

Which of the following are characteristics of hierarchical clustering?
(Choose two)
Response:

• A.It requires specifying the number of clusters in advance
• B.It can be either agglomerative or divisive
• C.It creates a tree-like structure of nested clusters
• D.It scales better for large datasets compared to k-means