Vectorization is the process of converting algorithms from operating on individual data points to operating on entire arrays, enabling significant performance improvements by leveraging parallel computation capabilities of modern hardware. This technique is crucial in fields like machine learning and scientific computing, where it reduces execution time and enhances efficiency by minimizing explicit loops in code.