Hey everyone welcome to this video.
I hope most of you are getting excited by the name.
But for those who do not know what actually ace is.
Stanford's artificial intelligences let something like we humans think about what we have to do in some
situations like when someone is dying you are going to help them.
And if these situations like our common example that is bargaining someone suggest job price and some
shopkeepers give you a fixed price and you bargain something like that.
These events that are like have to be done in something as minor but you think by your own and do according
to your thinking.
And that same thing if computer performs is known as artificial intelligence.
Like if you put a computer in any situation and it perform any particular task by thinking it says that
is the artificial intelligence a common example is a smart car.
If you have a smart car and it's moving and he got some traffic he suddenly decreases it speeds and
gets stopped.
And if something is in front of you he tries to not collide with it not something you can also think
of that computer things.
And if you are a programmer I think that most of you are already familiar with AA and even 90 percent
of the programmers start programming by thinking that they're going to develop even one more thing.
They know we humans do not able to get an idea.
The AA like the AA in movies like In Terminator we have this guy it.
If you have seen the movie the guy that tried to destroy the evil that is the proper ideally which thinks
everything by itself the AA we have developed so far like common example city Bixby they are just something
that works on some instructions.
They just find a good pun instruction for the proper situation but they not always thinks everything
by their own.
So that's something maybe you will develop in future if you are a good programmer and you have good
skills and problem solving techniques then maybe you will live a little so in this module they are going
to use a little part of that.
We will develop our algorithm by which the computer thinks it tell a player and will respond to the
like we are playing with.
Then he will respond to over moves and try to either tie the game or try to vindicate.
So that's what we are going to do here and I hope you also try this.
So thanks for watching and I hope you find this one useful.
One more thing.
If you google out the applications of equity examples of a you will find a number of examples.
Maybe by looking at that one you understand Dilbert A is like here we have spam filter smart email categorization.
These are the common example that are in vogue but not actually the ideal but also some time when you
saw something on your mobile like you are by going to buy some shoes on Amazon you find that after closing
that application when you go to Facebook app Instagram app you will find the same thing in the product
at their next dinner.
Well the coincidence that the aim of that particular programs and that is also you can categorize as
machine learning but then like the application is nearly same at that point.
So thanks for watching for this video and I will see in the next video.