Machine Learning Quiz

What does the term 'supervised learning' imply?

• Supervised learning uses labeled data
• Unsupervised learning uses labeled data
• Supervised learning doesn't need any data
• Supervised learning uses reinforcement

Which of the following is a classification algorithm?

• Linear Regression
• Decision Tree
• PCA
• Autoencoder

In which algorithm is the concept of entropy used?

• Random Forest
• Linear Regression
• Decision Tree
• K-means clustering

Which of the following is a type of neural network layer?

• ReLU
• Sigmoid
• Dropout
• Cosine

What is bias in a machine learning model?

• A type of error from erroneous assumptions
• A method for regularization
• A type of neural network
• The rate at which learning occurs

Which technique is used to prevent overfitting?

• Regularization
• Normalization
• Tokenization
• Activation

What is the role of an activation function in a neural network?

• To introduce non-linearity
• To reduce dimensionality
• To normalize input data
• To select features

What is the main difference between Bagging and Boosting?

• Bagging reduces variance Boosting reduces bias
• Bagging increases bias
• Boosting reduces variance
• Boosting uses base learners sequentially

Which algorithm works based on the distance between data points?

• Linear Regression
• Decision Tree
• K-Nearest Neighbors
• Random Forest

What is the primary purpose of a loss function in machine learning?

• To measure the performance of a model
• To determine the number of layers
• To define the model's architecture
• To select features for training