Deep Learning and Machine Learning Quiz

What is deep learning primarily based on?

• Decision Trees

• Support Vector Machines

• Random Forests

• Artificial Neural Networks

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

• Naive Bayes

• Linear Regression

• Recurrent Neural Networks

• K-Means Clustering

What does the term 'overfitting' refer to in machine learning?

• The model generalizes well to new data

• The model performs poorly on training data

• The model captures noise in the dataset

• The model is too simple

Which algorithm is known for using a collection of decision trees?

• Logistic Regression

• Support Vector Machines

• Gradient Boosting Machines

• Random Forest

What is the main goal of supervised learning?

• To reduce dimensionality

• To find hidden patterns in data

• To predict outcomes based on labeled data

• To cluster data into groups

Which of the following is NOT a type of kernel used in SVM?

• Polynomial Kernel

• Linear Regression Kernel

• Gaussian Kernel

• Exponential Kernel

What is the purpose of pruning in decision trees?

• To increase the size of the tree

• To remove unnecessary branches

• To add more features

• To improve training speed

Which of the following is a characteristic of deep learning?

• Is always faster than traditional methods

• Can learn feature hierarchies

• Uses shallow networks

• Requires structured data only

What does the Gini Index measure in decision trees?

• The number of features

• The accuracy of predictions

• The impurity of a dataset

• The depth of the tree

Which of the following is a disadvantage of decision trees?

• They are easy to interpret

• They may overfit the training data

• They require little data cleaning

• They can handle high-dimensional data