Which of the following is NOT a type of data? A. Text* B. Float C. Numeric D. Images

What type of Machine Learning is used for supervised learning? A. Deep Learning B. Reinforcement Learning C. Unsupervised Learning D. Supervised Learning*

What is the most common method for measuring the accuracy of a machine learning model? A. Neural networks B. Decision trees C. Cross-validation* D. K-nearest neighbors

What is overfitting? A. When a model is trained on too few data points B. When a model is trained with too many features C. When a model is trained on excessive parameters D. When a model is trained too well and begins to map the training data too closely*

What is the difference between a classifier and a regressor? A. A classifier produces a discrete label as an output, while a regressor produces a continuous numerical output* B. A classifier employs supervised learning techniques, while a regressor uses unsupervised learning techniques C. A classifier evaluates the accuracy of a model, while a regressor measures the correctness of the model D. A classifier is used for classification tasks, while a regressor is used for regression tasks

What is the most popular programming language for performing machine learning tasks? A. Python* B. Java C. R D. C++

What is root mean squared error? A. A type of regularization used to avoid overfitting B. A measure of accuracy used to evaluate a model C. A type of linear regression model D. A measure of how close predictions are to the actual values*

What is a convolutional neural network (CNN)? A. An unsupervised learning algorithm B. A type of deep neural network with feedback loops C. A type of algorithm used for image recognition* D. A type of algorithm used for time series analysis

What is the K-fold cross-validation technique? A. A method used to tune model parameters B. A statistical technique used to measure accuracy C. A method used to validate a model by determining its stability D. A technique used to train a model with multiple different subsets of data*

What is backpropagation? A. A method for estimating the weights of a neural network B. A technique for training a model with multiple different subsets of data C. A type of regularization used to avoid overfitting D. A method used to update the weights of a neural network through gradient descent*