Introduction to Machine Learning Concepts

Which of the following best describes machine learning?

• A method for manually programming computers to perform tasks

• A field of study that gives computers the ability to learn from data without being explicitly programmed

• A type of hardware used in robotics

• A way to store large amounts of data

Which of the following is NOT a type of machine learning?

• Supervised learning

• Unsupervised learning

• Reinforcement learning

• Manual learning

In supervised learning, what is provided to the algorithm during training?

• Only input data

• Input data and corresponding output labels

• Only output labels

• No data at all

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

• Clustering customers by purchasing behaviour

• Predicting house prices based on features like size and location

• Discovering hidden patterns in unlabelled data

• Playing chess without any prior knowledge

What is the main goal of unsupervised learning?

• To predict future values

• To find patterns or structure in unlabelled data

• To maximise rewards in an environment

• To classify data into known categories

Which of the following is a common algorithm used for classification tasks?

• K-means clustering

• Linear regression

• Decision tree

• Principal component analysis

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

• When a model performs well on new, unseen data

• When a model is too simple to capture the underlying trend

• When a model learns the training data too well, including noise, and performs poorly on new data

• When a model is trained with too little data

Which metric is commonly used to evaluate the performance of a classification model?

• Mean squared error

• Accuracy

• R-squared

• Silhouette score

What is the main difference between regression and classification?

• Regression predicts categories, classification predicts continuous values

• Regression predicts continuous values, classification predicts categories

• Both predict continuous values

• Both predict categories

Which of the following is an example of a regression problem?

• Determining if an email is spam or not

• Predicting the temperature in Celsius for tomorrow

• Grouping students by their study habits

• Identifying the species of a plant