Artifical Intelligence explained in the easiest terminology-Can facebook be beaten? - Future Den

via geekwire

I have always wanted to talk on Artificial Intelligence because its something that fascinates me a lot! Woah! machines actually learning to learn and adapt to the environment around them and its changes is not that cool? If not then surely you need to read this article, if yes then still read this because something's big is down there.

To me when i first read about artificial intelligence it was like all those "Sci-Fi" kinda movies and TV shows in which people have robots as their assistants and not human beings. Well, more or less AI (Artificial Intelligence is the same thing)

AI can be
1) Machine Learning
2) Neural Network
3) Deep Learning

1)Machine Learning
               In machine learning a computer is able to learn and reprogram itself according to the result. its like teaching the computer without programming it because the computer itself is able to feed that info in. For e.g if a computer tries to solve a math problem it will continue on to solve until that problem is solved. The method that brought the solution will then be fed into the computer or the machine itself. That' s fast and efficient isn't it? People often confuse AI with ML. Well as far as i have researched and studied AI is a broader concept and ML comes under it. So Machine Learning is a part of Artificial Intelligence.

2) Neural Network
               Literal definition of NN(Neural Network) is  a computer system modeled on the human brain and nervous system. I think, its quite comprehend able now by the definition. They exactly work like animal nervous system. Animal nervous system is also based on recognition, analsyis and action  same is the case with this branch of AI only difference is that some information must be fed in before performing a task. An example for this is recognizing between a car and a motor bike. First the system will recognize the image of   motor bike and then would be able to differentiate between a two wheeled and four wheeled vehicle easily

3) Deep Learning              Deep learning can be refereed to as the more refined or sub part of machine learning which eventually comes under AI so no need for confusion. In deep learning the machine becomes more character oriented  which means now it is able to learn and identify between smallest of the small characters and differentiate between things. For example finding out the 1s and ls (this is ones and Ls)
or 0s and 1s if there are too many of them there.


Some people argue that Data Science also comes under AI but in my opinion it does not. To find out if it is that way, please follow me for next posts.
           
So, if you are an aspiring computer science person then surely AI is the future! and as i say if theres something that can go beyond the success of facebook then its surely AI because its NEXT!


See you on the other article till then post your questions or queries here in the comments

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