Machine learning is a subset of data science that focuses on creating algorithms that improve automatically through experience. Data science, on the other hand, encompasses a broader range of techniques and tools used to analyze and extract insights from data. The synergy between the two lies in how machine learning algorithms are a crucial component of data science, enabling data scientists to uncover patterns, make predictions, and derive valuable insights from complex datasets.