Introduction to Machine Learning Quiz

What is the primary goal of machine learning?

• To create machines that can think like humans

• To enable computers to learn from data and make predictions

• To replace human jobs with robots

• To develop new hardware for computers

Which of the following is a type of machine learning?

• Supervised learning

• Unsupervised learning

• Reinforcement learning

• All of the above

In supervised learning, what are the two main types of tasks?

• Classification and clustering

• Regression and classification

• Clustering and association

• Regression and reinforcement

Which of the following is an example of a supervised learning algorithm?

• K-means clustering

• Decision tree

• Apriori algorithm

• Genetic algorithm

What is the purpose of a training dataset in machine learning?

• To test the model's performance

• To train the model to learn patterns

• To validate the model's accuracy

• To deploy the model in production

Which of the following is a common metric used to evaluate classification models?

• Mean squared error

• Accuracy

• R-squared

• Root mean square error

What is overfitting in machine learning?

• When a model performs well on training data but poorly on new data

• When a model performs well on both training and new data

• When a model performs poorly on both training and new data

• When a model performs well on new data but poorly on training data

Which of the following is a technique to prevent overfitting?

• Increasing the size of the training dataset

• Reducing the number of features

• Using regularisation techniques

• All of the above

What is the role of a validation dataset in machine learning?

• To train the model

• To test the model's performance

• To tune the model's hyperparameters

• To deploy the model in production

Which of the following is an example of unsupervised learning?

• Linear regression

• Logistic regression

• K-means clustering

• Support vector machine