GMLE 무료 덤프문제 온라인 액세스

In a regression model, what is the purpose of the error term?
Response:

• A.To measure the accuracy of a decision tree
• B.To represent the difference between the observed and predicted values
• C.To classify new data points
• D.To calculate the probability of an event

What is the role of the centroid in the k-means clustering algorithm?
Response:

• A.It serves as the initial seed for the clustering process
• B.It represents the boundary between two clusters
• C.It is the geometric center of a cluster, representing the mean of the data points in that cluster
• D.It is the point that minimizes the error in each cluster

Stochastic Gradient Descent differs from traditional Gradient Descent by:
Response:

• A.Using a fixed learning rate throughout the training process
• B.Eliminating the need for a learning rate
• C.Updating model parameters after evaluating each data point
• D.Updating model parameters after evaluating the entire dataset

Which of the following are common activation functions used in neural networks?
(Choose two)
Response:

• A.ReLU (Rectified Linear Unit)
• B.Batch normalization
• C.Weight initialization
• D.Sigmoid function

Which activation function is typically used in the output layer of a neural network for binary classification?
Response:

• A.ReLU
• B.Softmax
• C.Sigmoid
• D.Tanh