Unsupervised learning
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...
On this page of the site you can watch the video online Unsupervised learning with a duration of hours minute second in good quality, which was uploaded by the user Machine learning classroom 23 September 2020, share the link with friends and acquaintances, this video has already been watched 1,271 times on youtube and it was liked by 12 viewers. Enjoy your viewing!
