May 2024
Beginner to intermediate
151 pages
3h 22m
English
You can think of a vector in simple terms as a list of numbers where the position of each item in this structure matters. In machine learning, this will often be the case. For example, if you are analysing the height and weight of a class of students, in this domain, a two-dimensional vector will represent each student:
Here v1 represents the height of a student, and v2 represents the weight of the same individual. Conventionally, if you were to define another vector for a different student, the position of the magnitudes should be the same. So the first element is height, followed by weight. This way of looking ...
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