Artificial Intelligence Syllabus Discussion and Analysis for
NTA UGC NET
In today 's lecture we are going to see Syllabus of artificial intelligence. We are discussing
this specially for NTA and NET exam. The syllabus if Artificial intelligence is mostly same
only But if we talk about NTA or NET exam Then they have already given syllabus of Artificial
Syllabi on their website. The first topic is approach to AI Approach to artificial intelligence I
have added this broad topics according to their syllabus only And if you also follow the book
of Rich and Knight Or of Soraj Kaushik Then in that also you will get the topics like this unit
wise only So if we talk about approach to. AI So this is the most important Why am I telling
this most important Because every time you. will get question from this unit And which is the
topic The first. topic is heuristic search Over here in heuristic. search we will talk about A * ,
AO * * , Best first We talk specially about this algorithm After that we talk over here about
game playing This is the most important topic in the artificial intelligence 2nd most topic
over here is Fuzzy set I will this also 3 start Because you will get questions from this also
every year And questions are of same pattern only Either it is AO * or it is best first Or you'll
get questions on DFS and BFS. Then I want to give neural network 2 stars over here.
Star is that You do n't have to leave this topic and go in knowledge And along with that we
have reasoning In reasoning we have statistical reasoning and statistical reasoning. In NLP
we have syntactic and semantic In Natural Language Processing these 2 are main topics
Cover from these 2 topics only There is theory of them and questions come related to them
only And many times I want to tell you one more strategy over here. I have bought this video
And if you will start preparation according to this video Then definitely you will get a lot of
help. And you will also enjoy that you will come to know Which topic you have to do Which
topics you can ignore a bit.
What is Artificial Intelligence | Learn AI with Real Life
Examples | Can Machine Think??
We want to make such machines which can behave like humans Can think like humans And
work like humans. On this intelligent machines only our whole future depends on intelligent
systems. We are still finding the answer of this question And actually what we want to do.
We want to put decision making powers in machines We want that machines should take
decisions by themselves And artificial intelligence is working over here only The barrier of
intelligence between humans and robots is trying to break that So behind that there are
many learning algorithms Searching, sorting algorithms are there Reasoning algorithms are
working behind it I want to give you one more simple example. Artificial intelligence is the
basic definition of artificial intelligence It is that we want to make such machine Which
should behave like human behavior. We want machines also to think on their end And on that
basis it should do decision making Then perception Then learning Learning means as
human being learn something We learn things from our experience And we use those things
in future.
Artificial Intelligence should work like human It should work in a way that works like human
So how can we bring that intelligence to that intelligence? "Only whole artificial intelligence
depends on this only whole artificial AI depends Thank you" "It should work as human" "Only
one whole artificial intelligent depends on the intelligence of a human"
NTA UGC NET
In today 's lecture we are going to see Syllabus of artificial intelligence. We are discussing
this specially for NTA and NET exam. The syllabus if Artificial intelligence is mostly same
only But if we talk about NTA or NET exam Then they have already given syllabus of Artificial
Syllabi on their website. The first topic is approach to AI Approach to artificial intelligence I
have added this broad topics according to their syllabus only And if you also follow the book
of Rich and Knight Or of Soraj Kaushik Then in that also you will get the topics like this unit
wise only So if we talk about approach to. AI So this is the most important Why am I telling
this most important Because every time you. will get question from this unit And which is the
topic The first. topic is heuristic search Over here in heuristic. search we will talk about A * ,
AO * * , Best first We talk specially about this algorithm After that we talk over here about
game playing This is the most important topic in the artificial intelligence 2nd most topic
over here is Fuzzy set I will this also 3 start Because you will get questions from this also
every year And questions are of same pattern only Either it is AO * or it is best first Or you'll
get questions on DFS and BFS. Then I want to give neural network 2 stars over here.
Star is that You do n't have to leave this topic and go in knowledge And along with that we
have reasoning In reasoning we have statistical reasoning and statistical reasoning. In NLP
we have syntactic and semantic In Natural Language Processing these 2 are main topics
Cover from these 2 topics only There is theory of them and questions come related to them
only And many times I want to tell you one more strategy over here. I have bought this video
And if you will start preparation according to this video Then definitely you will get a lot of
help. And you will also enjoy that you will come to know Which topic you have to do Which
topics you can ignore a bit.
What is Artificial Intelligence | Learn AI with Real Life
Examples | Can Machine Think??
We want to make such machines which can behave like humans Can think like humans And
work like humans. On this intelligent machines only our whole future depends on intelligent
systems. We are still finding the answer of this question And actually what we want to do.
We want to put decision making powers in machines We want that machines should take
decisions by themselves And artificial intelligence is working over here only The barrier of
intelligence between humans and robots is trying to break that So behind that there are
many learning algorithms Searching, sorting algorithms are there Reasoning algorithms are
working behind it I want to give you one more simple example. Artificial intelligence is the
basic definition of artificial intelligence It is that we want to make such machine Which
should behave like human behavior. We want machines also to think on their end And on that
basis it should do decision making Then perception Then learning Learning means as
human being learn something We learn things from our experience And we use those things
in future.
Artificial Intelligence should work like human It should work in a way that works like human
So how can we bring that intelligence to that intelligence? "Only whole artificial intelligence
depends on this only whole artificial AI depends Thank you" "It should work as human" "Only
one whole artificial intelligent depends on the intelligence of a human"
