Podcast
Questions and Answers
What is the primary goal of reinforcement learning?
What is the primary goal of reinforcement learning?
- To classify new patients as having diabetes or not
- To detect anomalies and outliers
- To group customers into different market segments
- To adjust to dynamic conditions in order to achieve a certain objective (correct)
What is the main characteristic of unsupervised learning?
What is the main characteristic of unsupervised learning?
- Labeled data is used to train a model
- No labeled data is used (correct)
- The system adjusts to dynamic conditions to achieve an objective
- The goal is to classify new patients as having diabetes or not
Which of the following is an example of supervised learning?
Which of the following is an example of supervised learning?
- Learning a spam filter from labeled emails (correct)
- Adjusting to dynamic conditions to achieve an objective
- Detecting anomalies and outliers in a dataset
- Grouping news articles into sets of articles about the same story
What is the second step in the supervised learning pipeline?
What is the second step in the supervised learning pipeline?
What is the purpose of the testing data in the supervised learning pipeline?
What is the purpose of the testing data in the supervised learning pipeline?
What is the primary distinction between humans and machines in terms of learning?
What is the primary distinction between humans and machines in terms of learning?
Which of the following is NOT a characteristic of human intelligence?
Which of the following is NOT a characteristic of human intelligence?
What is the primary application of supervised learning in real-world scenarios?
What is the primary application of supervised learning in real-world scenarios?
Which of the following is a foundation of AI that is NOT related to computer science?
Which of the following is a foundation of AI that is NOT related to computer science?
What is the primary difference between machine learning and human learning?
What is the primary difference between machine learning and human learning?