🌱Introduction to vectors

An introduction to vectors

Assumed Knowledge: Vectors Target Audience: General Audience Reading Time: 3 minutes

What are vectors?

Vectors are a list of numbers that meaningfully and uniquely represent data. See below for an example.

[0.324, 0.241, 0.934, 0.424, 0.141, 0.242] #example of a vector

Although vectors may look like a series of random numbers, they are actually the result of carefully constructed and trained artificial neural networks (more details below).

Think of vectors as the fingerprint of data. Much like how everyone has their own fingerprint, every piece of data (whether it is an image, video, text or audio) has its own vector.

Vectors are much like fingerprints of data.

How are vectors constructed?

Vectors can be constructed from: 1) A row of data (for example - the machine learning model is an excellent example 2) Extracting a layer in the middle of a neural network

We can extract vectors from neural networks

Neural networks allow us to provide a new way to see the work done.