Similarity Learning is a machine learning technique focused on understanding how to measure the similarity or dissimilarity between items, enabling algorithms to make predictions or decisions based on these comparisons. It's crucial for tasks like recommendation systems, face recognition, and clustering, where the relationship between data points is more informative than the data points themselves.