Machine Learning Quiz

What is the primary goal of machine learning?

• To replace human intelligence

• To create self-aware robots

• To enable computers to learn from data

• To program computers to perform tasks without data

Which of the following is an example of supervised learning?

• Clustering visitors to a website

• Flagging spam emails

• Dimensionality reduction

• Data visualization

What is the term for the data used to train a machine learning model?

• Training set

• Validation set

• Evaluation set

• Testing set

Which type of learning involves no labeled data?

• Semi-supervised learning

• Supervised learning

• Unsupervised learning

• Reinforcement learning

What is overfitting in machine learning?

• When a model performs poorly on training data

• When a model performs well on training data but poorly on new data

• When a model is too simple to capture the underlying data structure

• When a model learns from too little data

Which of the following is a common technique to prevent overfitting?

• Ignoring validation data

• Increasing the complexity of the model

• Regularization

• Using more training data

What is the purpose of a validation set?

• To test the model after deployment

• To evaluate the model's performance during training

• To train the model

• To gather more data

Which of the following is an example of reinforcement learning?

• A spam filter learning from user feedback

• A model predicting house prices

• A robot learning to walk through trial and error

• A system clustering similar data points

What does the term 'data drift' refer to?

• The change in data distribution over time

• The technique of reducing data dimensions

• The process of cleaning data

• The method of collecting data

Which machine learning technique is best for predicting continuous values?

• Classification

• Regression

• Clustering

• Dimensionality reduction