ROUND 3

Which of the following is not a type of ensemble learning technique?

• bagging

• boosting

• Stacking

• Gradient Descent

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

Which optimization algorithm is specifically designed for training deep neural networks?

• Gradient Descent

• Stochastic Gradient Descent (SGD)

• Adam

• RMSprop

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

Which of the following evaluation metrics is suitable for imbalanced datasets?

• Accuracy

• Precision

• F1-score

• Mean Squared Error (MSE)

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

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)

Which regularization technique adds a penalty term to the cost function to discourage large weights?

• L1 Regularization (Lasso)

• L2 Regularization (Ridge)

• Dropout

• Elastic Net Regularization

Which algorithm is a non-parametric method for classification and regression tasks?

• Naive Bayes

• Decision Trees

• Linear Regression

• Logistic Regression

In reinforcement learning, what does the term "exploitation" refer to?

• Exploring new actions to learn from them

• Rewarding the agent for taking certain actions

• Utilizing the learned policy to make decisions

• Balancing exploration and exploitation