welcome to Day Three and Free One and bagners and today we will learn about machine learning and algorithms. Now we have understood the definition of AI,
we have understood LM and in the definition of AI we had seen that what kind of system is AI which first reads a lot of information and then understands the patterns from it. We had read this but now the question comes how does AI learn?
How does it train?
How does it train? The process of being trained is called machine learning. You must have heard the word ML and that too for example.
We showed the computer a photo of a thousand dogs. It has different patterns against me. It has them without us writing and telling that a dog has two ears and a tail or is there such a dog that has such a shape without telling all this and I will tell you another example.
You will also have emails in Gmail and some emails in your inbox. Some emails go to spam by themselves and this machine learning also shows which email is genuine and which is spam and you will also remember when you learned to ride a bicycle in your childhood,
you must have learned by reading the bicycle manual, you must have tried to ride a bicycle, then you fell, you must have tried again, then you fell, then you must have tried again, then after doing all this, a pattern will be formed in your mind how to ride a bicycle and in this way you have learned to ride a bicycle and this is how machine learning also works. Give data to the computer, give it examples, it will make mistakes but then we will keep improving it little by little,
we will adjust it, the NG process will keep repeating itself until it learns not to work perfectly and this is completely an experience, they are not writing the rules directly,

they are learning from their mistakes and it is getting better. I will give you a lot of use, like we use face unlock in phones, here too machine learning is being used, there are photos, ML is also used in it, which is the background of our photos, on YouTube, on Instagram, and when you are shopping on Amazon,
you must have seen it written there, here to ML is used by machine learning. It is morning and along with this machine learning, you must have heard another term, algorithm, this is also a very popular term and I will explain this to you. Basically,
it is a step-by-step method by which the computer learns from the data. I repeat again, algorithmic is a step-by-step method by which the computer learns from the data, that is, those methods,
how is Machine Learning

the methods that AI uses, for this, there are different types of algorithms to find patterns in the data, and there are many more, but these are very advanced things for now. And now you may be thinking this. Why is machine learning happening?
Why are we teaching machines? Why are we not doing it as humans? I will give you the reason because it is so powerful. It can find out if a very big transaction is happening. Is there any fraud happening in it? It can be caught by it.
There are many other things in which if we humans do it ourselves, we will be able to review 50 to 100 applications in a day. And there it can make you crores. It means where is 50 and where is it? It keeps making crores because the more data it gets, the more it improves itself. And we humans forget a lot of things. And remember this after 24 hours. If you get it correct, then you will get the correct answer. So, brother, this is your video. So, how did you like today’s class? Comment and tell me.
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