Introduction to Applied Linear Algebra: Norms & Distances

Deniz Tuzsus
Towards Data Science
4 min readDec 5, 2021

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Goal: This article gives an introduction to vector norms, vector distances and their application in the field of data science

Why you should learn it: Vector norms and distances are used to describe attributes of vectors and the relationship of different vectors to each other. It is widely used in machine learning techniques such as clustering.

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PhD. Student in Computational Neuroscience and fascinated with all things related to Data Science. Author @Towards Data Science and @Towards AI.