Mastery Check Unit 1

What is the main difference between traditional programming and machine learning?

• Traditional programming uses computers, while machine learning does not.

• Traditional programming follows explicit rules written by a programmer, while ML learns patterns from data.

• Machine learning is faster than traditional programming.

• Traditional programming is used for video games, while ML is not.

In a supervised learning model, the data used to train the algorithm is:

• Unlabeled and without correct answers.

• Labeled with the correct answers.

• Only used for testing, not training.

• Generated randomly by the computer.

A spam filter that learns to identify junk mail by analyzing thousands of emails already marked as 'spam' or 'not spam' is an example of:

• Unsupervised Learning

• Reinforcement Learning

• Supervised Learning

• Traditional Programming

What is the key characteristic of unsupervised learning?

• It learns through a system of rewards and penalties.

• It requires a teacher to provide correct answers.

• It finds hidden patterns or groups in unlabeled data.

• It is only used for simple tasks.

When a company groups its customers into categories like 'frequent shoppers' or 'budget buyers' based on their purchase history, it is most likely using:

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• Traditional Programming

The 'trial and error' learning method, where an AI receives rewards for good actions and penalties for bad ones, is called:

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• Deep Learning

Training a self-driving car to stay in its lane by giving it a positive signal for correct driving and a negative signal for swerving is an example of:

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• Data Streaming

Which of the following is a real-world application of supervised learning?

• Grouping news articles by topic without pre-defined categories.

• A recommendation system that suggests movies you might like.

• A facial recognition system that identifies a person in a photo.

• A robot learning to walk by receiving rewards for successful steps.

The analogy of training a dog to sit using treats is most similar to which type of machine learning?

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• Deep Learning

The primary goal of machine learning is to:

• Replace all human jobs with automation.

• Enable computers to learn from data and improve without being explicitly programmed for every task.

• Make computer processors faster.

• Create more complex video games.