Machine learning is a subset of artificial intelligence that enables computers to learn from data and improve their performance over time without being explicitly programmed. Although machine learning is a vast field with all its components bearing special significance in its working, the importance of embeddings cannot be overemphasized.
Machine learning has brought about revolutionary transformations in the field of artificial intelligence by enabling computers to learn and enhance their abilities through data, without the need for explicit programming. And in the vast realm of machine learning, where different technical components come together to build ingenious solutions and applications, embeddings hold a crucial place and their significance cannot be overstated.
Embeddings are mathematical representations of data that capture meaningful relationships between entities. Embeddings have become an indispensable part of a data scientist’s toolkit and have dramatically changed how natural language processing (NLP), computer vision, and recommender systems work.
To read more – https://www.leewayhertz.com/what-is-embedding/
Michael Scott Blog 