This is start this session with a very important question, what is classification? Here, 1
according to dictionary classification is an action or a process of classifying something according 2
to shared qualities or characteristics. 3
But why is it important? 4
The first thing that we all learn in this school was classifying in a math class, 5
We learned how to classify different shapes into a different groups. 6
If a shape has four right angles and fout straight lines, then we can call it square. 7
Basically, we are learning how to classify different things. In science 8
We also learn how to classify different plants, animals, and we gave them a name. 9
This is also very important science for machine learning, as well as. A manager who wants to decide 10
about some particular situation. 11
He will compared the existing situation with one of the sets that he has in his mind. 12
Finally, he will make a decision. 13
Let's take a look at this example. 14
Each of these orange circles are representing a patient. 15
Let's say they are the result of tests of some patients and a doctor wants to decide if they are diabetic 16
or not. 17
What the doctor is eventually doing is asking them some questions, maybe conducting some tests and gathering 18
some data. 19
And then he or she will compare this set of data to one of the sets and groups that he has in his mind. 20
And then he/she (the doctor) can make some decision. 21
He can say, for example, this patient is a diabetic person and this person is a very healthy one 22
and he doesn't have any problem. 23
But sometimes there are situations that these two patients, they have all similar symptoms, but only 24
different is in one sign or one symptoms. A doctor who can compare them and who can make a better decision, 25
Is the experienced, doctor! 26
That's why they are usually looking for finding a very expert doctor in critical situations because 27
they have more experience. 28
But what are these experiences? 29
It means they saw more samples, had more patients and they have a better data set on their mind. 30
Suppose these are the patients with diabetic or high blood pressure and these are the healthy patients. 31
Doctor can separate these two sets of their patients and later on, maybe they can group them and prescribe 32
a specific treatment plan for this set. 33
And for another set here, prescribe another medicine or treatment plans. The doctor is classifying 34
patients into different groups. 35
And they are very healthy patients. 36
But let's take a look at mathematics here. 37
I call this one X, and here Y we can see that this is a line with a mathematical function (equation). 38
This is ax plus by plus C equals to zero. 39
We can say that here for these patients, if ax plus by plus c is greater than zero, then these patients 40
are diagnosed with a diabetic. 41
And for these patients, if ax plus by plus c 42
Suppose this is disorder information for this patient is less than zero, then this patient is healthy. 43
We already drove a mathematical model for our patients 44
What is the doctor doing? 45
Actually, first thing is classification. 46
Next thing that he or she does is recognition and identification. 47
They will do the recognition and identification based on the results of the test. 48
And finally, they will do some assessment. 49
And they also have forecasting and a prediction. 50
By looking at the test result of this patient, they can easily say that based on these itemd in your 51
test result, 52
If you continue eating Sweet things(foods), then in one month or in two months, you will be here and you 53
will be diabetic. 54
So you need to be careful. 55
You need to reduce eating Sweets and some other diets. 56
But for this patient, they can say, OK, your situation is pretty stable. 57
You don't have any problem. 58
You can eat as much as sweet as you want and 59
There won't be any problem for you, at least in the next few months. Here, Doctors can predict 60
and they can forecast based on the data that.