Weekly Consultation 13

What is the difference between supervised and unsupervised learning?

• Supervised learning requires labeled data while unsupervised learning does not.
• Unsupervised learning requires labeled data while supervised learning does not.
• Supervised learning does not require data while unsupervised learning does.
• There is no difference between supervised and unsupervised learning.

What is the purpose of regularization in machine learning?

• To reduce the number of features in a model
• To prevent overfitting and improve generalization
• To speed up the training process
• To increase the accuracy of the model

What is the difference between a validation set and a test set?

• A validation set is used to evaluate the performance of a model during training, while a test set is used to evaluate its performance after training.
• A validation set is used to tune the hyperparameters of a model, while a test set is used to evaluate its performance.
• A validation set and a test set are the same thing.
• A validation set is not necessary in machine learning.

Which of the following is an example of a dimensionality reduction technique?

• AdaBoost
• Support vector machine (SVM)
• K-nearest neighbors (KNN)
• Principal component analysis (PCA)

What is the purpose of data augmentation in machine learning?

• To improve the quality of a dataset
• To reduce the size of a dataset
• To increase the size of a dataset
• To improve the performance of a model

f(x) = max(0,x); What is this activation function called?

• Sigmoid Linear Unit
• Linear Unit
• Rectifier Linear Unit
• Maximum Unit

Which loss function commonly used to do binary classification

• Class Entropy
• Binary Entropy
• Mean Squared Binary
• Binary Classification

What is the main purpose dropout layer?

• Decrease the paramater
• Decrease the layer number
• Avoid underfitting
• Avoid overfitting

Which of the following machine learning algorithm is based upon the idea of bagging?

• decision tree
• random-forest
• classification
• regression