Tensor computation is a fundamental operation in machine learning and scientific computing that involves the manipulation of multi-dimensional arrays, known as tensors. It enables efficient processing of large datasets by leveraging optimized linear algebra operations, crucial for tasks such as deep learning model training and inference.