Category: ML
-
Vectors and Similarities
Given, we understand what vectors are from previous blog and what magnitude and direction represent, We will see how to measure the “closeness” or “similarity” between vectors with simple example. Two of the most common metrics are Cosine Similarity and Dot Product. While both are derived from the same mathematical operations, they capture different aspects…
-
Vectors: The Unsung Heroes Powering Machine Learning
Have you ever wondered how Netflix recommends your next binge-worthy show, how Google understands your search queries, or how your phone recognizes faces in photos? The magic behind these seemingly complex feats of artificial intelligence often boils down to a surprisingly simple yet incredibly powerful mathematical concept: vectors. In the world of Machine Learning (ML),…
2G 