Unsupervised machine learning.

Let us learn some advantages and disadvantages of unsupervised learning.

Advantages and Disadvantages of Unsupervised Learning :-

• 𝘈𝘥𝘷𝘢𝘯𝘵𝘢𝘨𝘦𝘴 :

-Unsupervised algorithms can be used for complicated task compared to the supervised algorithm.

-Unsupervised algorithm works on the unlabeled dataset.

-Unsupervised algorithms are preferable for various task as getting the unlabeled dataset, as it is easier as compared to the labelled data set.

• 𝘋𝘪𝘴𝘢𝘥𝘷𝘢𝘯𝘵𝘢𝘨𝘦𝘥 :

-The output of unsupervised algorithm can be less accurate as the data set is not labelled.

-Unsupervised algorithms are not trained with exact output in prior.

-Working with and supervised learning algorithm is more difficult as it works with the unlabeled dataset that doesn't map with the output.