May 1, 2024
4 minute read
Vector Search is a technique for finding and retrieving similar data points in high-dimensional vector spaces. It is commonly used in a variety of applications, including image and video retrieval, natural language processing, and recommender systems.
How Vector Search Works
xwn79t|
Find a path to becoming a Vector Search. Learn more at:
OpenCourser.com/topic/xwn79t/vector
Reading list
We've selected two books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Vector Search.
A comprehensive guide to natural language processing in Python, including chapters on vector representations of text and their use in natural language processing tasks.
A comprehensive introduction to deep learning for natural language processing, including a chapter on word embeddings and their use in vector search.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/xwn79t/vector