Why you need to, to read it?
Many peoples remain confused between Machine Learning and AI. Some are unknown to it, it is necessary to know about it, because this technology will be introduced to us, very soon.
Machine learning is a part of Artificial Intelligence, but both are different-
Machine Learning:-
The computer has to learn through algorithms and historical data and became an expert in a specific task. By the time, it add its own experience in the algorithms and keep improving in a specific task. This system can perform only that function, for which it is programmed.For ex:-
(If you program a system for playing
Ludo( a board game ), then it becomes master only in this game. If you use this system for playing chess, then it will completely fail in doind it.)
So, machine learning is mastery of system in a specific topic.
Artificial Intelligence(AI):-
AI system is very intelligent and it can perform many tasks like humans.It has its own understanding, thinking and creativity like us.
AI system analyse many things in a pattern and then take actions from its own understandings.
AI is divided into two parts-
1. Weak AI :-
It is not much powerful and it is working on limited scales.2. Strong AI :-
It is very strong and high tech, its scope is wide. It is very intelligent like humans.Lets take the the same example.
(In strong AI, if you program a system for playing Ludo, then if you use it for playing chess. Then it can try for playing chess and may it will learn it in some time due its intelligence.)
This AI is very high-tech. We hardly see it in our daily life, But in future it will be very common and definitely we will use it for our convenience
Now a days, some of companies of cell-phones & T.V. tell us that their product is working on AI. But this is not true, in fact they uses machine learning technology in their devices.
Now, you can differentiate both easily-
Machine learning can perform only some specific tasks.But,
AI is designed to perform multiple tasks & had a capability to think like a human.
⬅PREVIOUS BLOG NEXT BLOG➡
No comments:
Post a Comment