Machine Learning Quiz

What is the definition of Machine Learning according to Tom Mitchell?

• The study of data without any algorithms.

• The process of programming computers to perform tasks.

• The study of algorithms that improve performance from experience.

• The ability of machines to think like humans.

When is Machine Learning typically used?

• When data is minimal.

• When models must be customized.

• When human expertise exists.

• When tasks are simple.

Which of the following is a classic example of a task that requires Machine Learning?

• Creating a budget.

• Writing a report.

• Playing checkers.

• Calculating payroll.

What type of learning involves training data with desired outputs?

• Supervised learning.

• Reinforcement learning.

• Unsupervised learning.

• Semi-supervised learning.

Which of the following is an application of Machine Learning?

• Web search.

• Basic arithmetic.

• Manual data entry.

• Simple file storage.

What is the main goal of reinforcement learning?

• To output a policy based on rewards.

• To cluster data points.

• To learn from labeled data.

• To predict future outcomes.

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

• Collaborative learning.

• Supervised learning.

• Unsupervised learning.

• Reinforcement learning.

What is the purpose of a performance metric in Machine Learning?

• To measure the success of the learning process.

• To program the computer.

• To collect data.

• To define the learning task.

Which of the following is an example of unsupervised learning?

• Playing games against an opponent.

• Classifying emails as spam or legitimate.

• Clustering individuals by genetics.

• Predicting stock prices.

What is a common application of deep learning?

• Basic data entry.

• Speech recognition.

• Manual data analysis.

• Simple calculations.