Y12 EC Unit 1 Data Science Week 10 PreQuiz

Which of the following best describes machine learning?

• A method to collect large datasets

• A system that learns from data without explicit programming

• A type of hardware used for data storage

• A visualization technique used to display data

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

• Supervised learning

• Unsupervised learning

• Reinforcement learning

• Manual learning

In supervised learning, the model is trained using:

• Labeled data

• Unlabeled data

• Data streams

• Historical data only

What is the primary goal of unsupervised learning?

• To label data

• To find hidden patterns in data

• To reduce the size of data

• To optimize algorithms

Which of the following machine learning techniques is commonly used for prediction?

• Decision trees

• K-means clustering

• Principal component analysis

• Histogram analysis

What type of statistical model is most commonly used in linear regression?

• Gaussian distribution

• Logistic function

• Linear equation

• Polynomial curve

Which of the following algorithms is most commonly used for classification tasks?

• K-nearest neighbors (KNN)

• K-means

• Linear regression

• Principal component analysis (PCA)

Big data refers to data that is:

• Structured

• Unstructured

• Too large to process with traditional methods

• All of the above

In statistical modelling, what does “overfitting” mean?

• The model generalizes well to new data

• The model performs better on test data than training data

• The model fits the training data too closely and performs poorly on new data

• The model is too simple

What is the main advantage of using ensemble learning in machine learning?

• Reduces the time required to train a model

• Combines predictions from multiple models to improve accuracy

• Ensures faster convergence of the model

• Prevents data loss