What is Machine Learning(ML) in Hindi/Urdu.
In this course, you will learn what is ML, AI and DS, and how they are related with each other.
Please follow, share and do comments
In this course, you will learn what is ML, AI and DS, and how they are related with each other.
Please follow, share and do comments
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LearningTranscript
00:00So, this course is the basic purpose, the basic theme is that you can create a data scientist.
00:10But as a data scientist, when you introduce yourself, the first question will be asked
00:16Okay, let me tell you what machine learning is.
00:19Now, to understand the concept of machine learning,
00:24I will use an analogy.
00:26Let's imagine, this is a shopkeeper, there is a bar hole,
00:31this is a shopkeeper, this area and here an industry,
00:36This door has a star for Spotlight owner and here a shopkeeper.
00:38whit ABOUT� ellery consider a shopkeeper
00:47However, this position in order to reach a register
00:52that you have a register.
00:54And in these register all,
00:56all the fall annum Hill
00:57was written.
00:58This kind of money
00:59or all the money
00:59of money
01:00and then you can carry out
01:02if you have 10 dollars
01:04to get 10 dollars
01:05and this money
01:07only to get 40 dollars
01:09and then you can get 40 dollars.
01:12This is the whole number of money.
01:14However,
01:15you can buy that
01:16because of the business
01:17which is good
01:18and that you can register
01:19so you can see that this is a job that I can't do it
01:24so I have to do one more thing to hire me basically
01:28so you have to hire a worker
01:31which is the job that he has to balance
01:34however, this worker has some problems
01:37because he is a human
01:39one is a complaint
01:41he says
01:43it's very hot
01:45pen
01:47it's a problem
01:51this is a problem
01:53this is a limited time for work
01:57and then again
01:59this is a problem
02:01this is a problem
02:03this is a problem
02:05this is a computational limitation
02:07this is a process
02:09this process
02:11process
02:13this is a day
02:15because you are a smart shopkeeper
02:17so you can see
02:19you are a smart shopkeeper
02:21you are a smart shopkeeper
02:23okay, shopkeeper
02:25you can see
02:27you have to keep the computer
02:29because it is a computer
02:31why don't you take the computer?
02:33so this is the
02:35which is the case
02:37which is 24-7
02:39computer
02:41computer can complain
02:43so you said
02:45what is the case?
02:47you went to a computer
02:49computer
02:51computer
02:53computer
02:55computer
02:57computer
02:59computer
03:01computer
03:03computer
03:05computer
03:07computer
03:09computer
03:11computer
03:13computer
03:15computer
03:17computer
03:19computer
03:21computer
03:23computer
03:24You know a person, your village, your city and country in the city.
03:32The problem is that you have a limitation and another one for 24 hours.
03:45You have to cross this bottle of net.
03:50And he said, this is the fact that today computer has so much to recognize that he can recognize the human.
03:59Imagine that you have, because you have so many years ago,
04:06so you have to know that, for example, a person is John.
04:11This is John.
04:13And John is half a kilo sugar.
04:18Good, excellent.
04:19You have to know that it is half a kilo sugar.
04:23Very good.
04:24There is another person named Sally.
04:28This is Sally.
04:30By the way.
04:31Sally is not a person.
04:33Sally is always 1 kilo, 1 kg, 8 kg.
04:39Excellent.
04:40There are 400 people.
04:42There are 10,000 people.
04:44There are 100,000 people.
04:46You can see that the data you can know, and you can know that you need this information.
04:49However, the problem is that you can only recognize that you can only see the person's face.
04:55बाकि वो �we automatically पैसे आपको submit करा देंगे, पैसे आपको दे जेंगे
05:00लेकिन problem यहां पर bottleneck यह है कि 24 hours के अंदर आप सिर्फ certain number of people को recognize कर सकते है
05:06इसकी मिसाल ऐसे है जाइस नाई जो है, सिर्फ let's say एक certain number of people की है हजामत बना सकता है
05:12How ever, you basically
05:19Barber syndrome, Nike syndrome, Nike syndrome, you are limited by the time and capability
05:26to recognize. What if this recognition capability is that you have to recognize the computer
05:36and say, this is John, this is Sally. And computer already knows that John and Sally
05:41can take care of it. If you have a capability to recognize the computer, then you have to
05:48work easily. Then you have to recognize one day of a million people and a million people
05:56can take care of it. You have to give things and pay for it. So this means that you have
06:06a computer under learning capability. Now I will explain to you. Learning capability
06:13capability means that this means that this is a recognition feature means that this
06:17decision power should be, intuition should be, experience should be, and mistakes
06:21to see the capability of computer. So if you capabilities you have to give it to you, it
06:28is called machine learning. Now this machine learning is the most important thing that the
06:35ability of the country can have, which means that the most important things won't be. Just
06:37this means. So when you have to think about the capitalist conversation, you have to Terpen
06:48문ology technology, basically that the capacity of the engineering, which is these three
06:53of the world is the most important things. Now obviously this mission learning has to be
06:55So today we have talked about a terminology that machine learning is basically the computer's learning capability.
07:02Now the learning capability, whether facial recognition or other way,
07:08we have seen that if the computer's learning capability,
07:11then our work is very easy.
07:16So we will close this lecture.
07:18Next lecture we will start.