00:01
Okay, so i see that you need help with this question, and it wants you to, it wants to know the difference between supervised and unsupervised learning.
00:10
So i have these two great visuals.
00:12
So for supervised learning and unsupervised learning, i'm going to look at this visual first.
00:19
So supervised learning is task driven.
00:23
Unsupervised learning is data driven.
00:26
So for unsupervised learning, precategorized data.
00:31
Classification is divide the socks by color.
00:34
Regression, divide ties by length.
00:38
And then for your unsupervised learning, unlabeled data.
00:42
So you're clustering, divide by similarity, association, identify sequences, and dimensionality reduction is wider dependencies.
00:52
So let's take a look at this visual here.
00:55
So unsupervised learning is, i'm sorry, supervised learning is algorithms are trained using labeled data.
01:04
Model takes direct feedback to check if it's predicting correct output or not.
01:13
Model predicts the output...