What is the difference between sparse and dense feature representations in machine learning?

Question

Machine Learning — Hard

What is the difference between sparse and dense feature representations in machine learning?

Accepted Answer

Sparse features contain mostly zero values with a few non-zero entries, while dense features have mostly non-zero values capturing richer information. This distinction is crucial for understanding how different types of feature representations impact machine learning models.