
ROUND 3
Authored by Sharan Xo
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University

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25 questions
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1.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Which of the following is not a type of ensemble learning technique?
bagging
boosting
Stacking
Gradient Descent
2.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
In neural networks, what does the term "backpropagation" refer to?
Forward pass of the input data
Adjusting the weights based on the output error
Initializing the neural network parameters
Regularizing the network to prevent overfitting
3.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Which optimization algorithm is specifically designed for training deep neural networks?
Gradient Descent
Stochastic Gradient Descent (SGD)
Adam
RMSprop
4.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
What is the purpose of the activation function in a neural network?
Normalize the input data
Introduce non-linearity
Regularize the network
Initialize the weights
5.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Which of the following evaluation metrics is suitable for imbalanced datasets?
Accuracy
Precision
F1-score
Mean Squared Error (MSE)
6.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Which algorithm is commonly used for anomaly detection in data with both labeled and unlabeled examples?
K-Means Clustering
Isolation Forest
Support Vector Machines (SVM)
Random Forest
7.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Which technique is used to reduce the dimensionality of data while preserving as much variance as possible?
Principal Component Analysis (PCA)
Singular Value Decomposition (SVD)
Linear Discriminant Analysis (LDA)
Independent Component Analysis (ICA)
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