Unsupervised learning

Publicado el: 23 septiembre 2020
en el canal de: Machine learning classroom
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The aim in supervised learning was to learn a mapping from the input to an output whose correct values are provided by a supervisor. In unsupervised learning, there is no such supervisor and we have only input data. The aim is to find the regularities in the input. There is a structure to the input space such that certain patterns occur more often than others, and we want to see what generally happens and what does not.

The next video in this course: Reinforcement learning    • Reinforcement learning  

Coding assignments: https://github.com/ionpetre/FoundML_c...


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