Machine Learning Quiz

What is the definition of machine learning?

• The science and art of programming computers so they can learn from data.

• The field of study that gives computers the ability to learn without being explicitly programmed.

• A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E.

• All of the above

Which of the following is an example of a machine learning application?

• Spam filter

• Analyzing images of products on a production line

• Automatically classifying news articles

• All of the above

What are the types of machine learning systems?

• Supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning

• Batch learning and online learning

• Instance-based learning and model-based learning

• All of the above

Which type of learning uses labeled training data?

• Supervised learning

• Unsupervised learning

• Semi-supervised learning

• Reinforcement learning

What is the main challenge of bad data in machine learning?

• Insufficient quantity of training data

• Nonrepresentative training data

• Poor quality data

• All of the above

What is the main challenge of bad algorithms in machine learning?

• Overfitting the training data

• Underfitting the training data

• Both A and B

• None of the above

Which solution can help reduce overfitting in machine learning?

• Simplify the model

• Gather more training data

• Reduce the noise in the training data

• All of the above

Which solution can help reduce underfitting in machine learning?

• Select a more powerful model

• Feed better features to the learning algorithm

• Reduce the constraints on the model

• All of the above

What is the goal of dimensionality reduction in machine learning?

• To simplify the data without losing too much information

• To discover interesting relations between attributes

• To classify instances into predefined categories

• To predict a value based on input features

What is the purpose of reinforcement learning?

• To learn from data without being explicitly programmed

• To automatically classify instances into categories

• To adapt to new data on the fly

• To learn the best strategy to maximize rewards over time