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Hey everyone welcome to this video.

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I hope most of you are getting excited by the name.

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But for those who do not know what actually ace is.

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Stanford's artificial intelligences let something like we humans think about what we have to do in some

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situations like when someone is dying you are going to help them.

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And if these situations like our common example that is bargaining someone suggest job price and some

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shopkeepers give you a fixed price and you bargain something like that.

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These events that are like have to be done in something as minor but you think by your own and do according

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to your thinking.

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And that same thing if computer performs is known as artificial intelligence.

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Like if you put a computer in any situation and it perform any particular task by thinking it says that

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is the artificial intelligence a common example is a smart car.

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If you have a smart car and it's moving and he got some traffic he suddenly decreases it speeds and

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gets stopped.

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And if something is in front of you he tries to not collide with it not something you can also think

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of that computer things.

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And if you are a programmer I think that most of you are already familiar with AA and even 90 percent

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of the programmers start programming by thinking that they're going to develop even one more thing.

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They know we humans do not able to get an idea.

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The AA like the AA in movies like In Terminator we have this guy it.

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If you have seen the movie the guy that tried to destroy the evil that is the proper ideally which thinks

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everything by itself the AA we have developed so far like common example city Bixby they are just something

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that works on some instructions.

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They just find a good pun instruction for the proper situation but they not always thinks everything

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by their own.

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So that's something maybe you will develop in future if you are a good programmer and you have good

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skills and problem solving techniques then maybe you will live a little so in this module they are going

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to use a little part of that.

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We will develop our algorithm by which the computer thinks it tell a player and will respond to the

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like we are playing with.

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Then he will respond to over moves and try to either tie the game or try to vindicate.

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So that's what we are going to do here and I hope you also try this.

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So thanks for watching and I hope you find this one useful.

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One more thing.

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If you google out the applications of equity examples of a you will find a number of examples.

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Maybe by looking at that one you understand Dilbert A is like here we have spam filter smart email categorization.

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These are the common example that are in vogue but not actually the ideal but also some time when you

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saw something on your mobile like you are by going to buy some shoes on Amazon you find that after closing

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that application when you go to Facebook app Instagram app you will find the same thing in the product

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at their next dinner.

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Well the coincidence that the aim of that particular programs and that is also you can categorize as

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machine learning but then like the application is nearly same at that point.

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So thanks for watching for this video and I will see in the next video.