00:01
So here according to the scenario of the question, the manager wants to the manager wants to categorize their database of digital images.
00:14
Okay of digital images.
00:17
He wants to categorize his database.
00:20
So they now they already have a collection of verified pictures verified pictures and that can be used by the machine learning system.
00:32
He can hear about the machine learning system.
00:34
So that can be easily used to train a machine learning system.
00:39
Now, we have to take a decision about chosen the you by you for use this supervised or unsupervised machine learning system.
00:48
So it will depend on the different factor of the requirement of the manager first for this we need to understand what is supervised machine learning.
00:58
Okay supervised machine learning and why the manager or any the manager of this company or any other company can be choose this type of learning.
01:10
Okay.
01:11
So if you talk about this supervised machine learning this in this learning the machine learning model is trained using label data.
01:22
First of all, we have to know it can use label data where each image is already assigned a category or a label.
01:29
Okay.
01:30
So this kind of machine learning used label data with where which already have a category category division.
01:42
Okay, like for example, if we talk about this company, so if they have a label like cars images people seen the if they already label this category, then he can use supervised machine learning.
01:53
So in this kind of learning the company can machine model is trained by using label data.
02:00
The manager can use this label data to train the model and once trained the model can automatically categorize new images.
02:10
Okay, this data can be used for this data can be used for to train the model train the model supervised learning model.
02:20
Okay, and after that after training this data or this model can automatically categorize.
02:27
Okay automatically category.
02:32
So this is a process in supervised machine learning.
02:36
Now, what are the reasons? what are the reasons to choose? what are the reasons to choose supervised machine learning? there are some reasons we can discuss number one is accuracy.
02:53
Number one is accuracy.
02:55
Now how because by using the supervised machine learning, the manager has already a collection of verified pictures.
03:03
Okay with known category if super then the supervised learning tech learning can provide high accuracy in characterizing new images.
03:13
If we can use this we have already on label data or images with category.
03:19
So it creates or it provide more accuracy by for categorizing another new images.
03:26
Okay.
03:26
Now second one is efficiency by the managers should use this kind of model.
03:33
We provide some reasons here number one accuracy.
03:36
Number second is efficiency how it is more efficient because with labor data the model can learn quickly and accurately categorize new images.
03:45
So this can save time and effort save time and effort compared to the manually characterizing the images...