Sorry that I haven't posted anything in the months that's for some reasons but here I am with a new and interesting thing that's shookih the world
I noticed that people are now going crazy with AI like Google assistant and Samsung's Bixby.........So I just asked myself like how do they work and what does power them to think so.......... you guys are going crazy about Artificial Intelligence
Artificial intelligence depends upon something's mainly called algorithms and machine learning so now I'm gonna be talking about both of them.......So stay with me........
The objective of AI is to build intelligent agents. What denotes intelligence in these agents is that they understand their environment and make the decision that benefits them the most in the form of a behaviour. That is how we perceive their supposed intelligence. The easiest examples are video game characters. When a video game character goes from point A to point B, there's AI algorithm called path finding. When a video game character runs away from your character after being "hurt" there is probably a finite state machine changing it's behaviour.
In a nutshell ML is about learning algorithms. Their objective is to learn from data to produce highly accurate predictions and insights. We can argue that these predictions can be decisions and therefor perceive intelligence but that is not the objective. The best way, in my opinion, to illustrate ML is to compare to the way we make decisions. Let's say that you had never seen a mammal and I showed you a monkey, a dog and a cat and told you those were mammals. Then I showed you a shark and a cod fish and told you those were fish. Then I'd show you a camel and asked you what it was. You'd say it was a mammal. That's a ML task called classification. Let's say that I gave you a bag of marbles of different sizes and colours and asked you to divide them in groups. You'd divide them following some logic you put up. This is clustering, also in the ML realm. There are many other tasks like this where machines learn.
They do have a lot in common. For starters both learn from data and there are many algorithms that are used in both. In their core, both are trying to minimize or maximise something.
So for people who think that they're gonna loose their jobs to AI
Source: Wikipedia,Youtube and my Google assistant......
I noticed that people are now going crazy with AI like Google assistant and Samsung's Bixby.........So I just asked myself like how do they work and what does power them to think so.......... you guys are going crazy about Artificial Intelligence
Artificial intelligence depends upon something's mainly called algorithms and machine learning so now I'm gonna be talking about both of them.......So stay with me........
The objective of AI is to build intelligent agents. What denotes intelligence in these agents is that they understand their environment and make the decision that benefits them the most in the form of a behaviour. That is how we perceive their supposed intelligence. The easiest examples are video game characters. When a video game character goes from point A to point B, there's AI algorithm called path finding. When a video game character runs away from your character after being "hurt" there is probably a finite state machine changing it's behaviour.
In a nutshell ML is about learning algorithms. Their objective is to learn from data to produce highly accurate predictions and insights. We can argue that these predictions can be decisions and therefor perceive intelligence but that is not the objective. The best way, in my opinion, to illustrate ML is to compare to the way we make decisions. Let's say that you had never seen a mammal and I showed you a monkey, a dog and a cat and told you those were mammals. Then I showed you a shark and a cod fish and told you those were fish. Then I'd show you a camel and asked you what it was. You'd say it was a mammal. That's a ML task called classification. Let's say that I gave you a bag of marbles of different sizes and colours and asked you to divide them in groups. You'd divide them following some logic you put up. This is clustering, also in the ML realm. There are many other tasks like this where machines learn.
They do have a lot in common. For starters both learn from data and there are many algorithms that are used in both. In their core, both are trying to minimize or maximise something.
So for people who think that they're gonna loose their jobs to AI
Cause they ain't gonna programme themselves soon maybe 40-65 years.
Video of the blog for this posy is by a channel that I encountered quite while ago
Source: Wikipedia,Youtube and my Google assistant......
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