The ML Landscape

1. What type of learning paradigm relies on having historical examples with known outcomes?

Unsupervised learning Reinforcement learning Supervised learning Clustering

2. Which of the following is an example of a regression task?

Predicting whether an email is spam Determining which department should handle a ticket Estimating next quarter's sales volume Grouping similar customer complaints

3. What distinguishes classification tasks from clustering tasks?

Classification predicts categories, while clustering groups similar items Classification involves reinforcement, while clustering is purely supervised Classification is always unsupervised, while clustering is supervised Classification predicts numbers, while clustering predicts categories

4. What role do deep learning models primarily serve within the machine learning paradigms?

They are a separate learning paradigm that does not include supervised or unsupervised learning They enhance classical machine learning tasks, especially where inputs are unstructured They replace traditional machine learning methods entirely They only apply to reinforcement learning scenarios

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