Segre Embedding is a mathematical concept used in algebraic geometry to describe how to combine two or more geometric objects into a higher-dimensional space. It allows us to represent products of varieties, which are fundamental objects in this field, by embedding them into a larger space. This process helps in studying the properties and relationships of these varieties. The Segre Product is the specific operation that combines two varieties, resulting in a new variety that captures the structure of both. The Segre Embedding is particularly useful in applications like computer vision and machine learning, where understanding complex data relationships is essential.