Artificial intelligence
In today 's 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 , And if you will start
preparation according to this , 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. Thank
you for your help.
, Artificial intelligence
What is Artificial Intelligence | Learn AI with Real Life
Examples | Can Machine Think??
going to discuss Introduction to Artificial Intelligence. 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"
, Artificial intelligence
What is State Space Search | Introduction to Problem Solving
in Artificial Intelligence
is going to discuss State space searching It is one of the major application of artificial
intelligence. Problem solving That is how to solve a particular problem And if we talk about era
of 1960-1970 At that time the major research that was done in artificial intelligence That is done
on problem solving And in which we talk related to game Like tic tac toe game is there. In 8
puzzle problem that we have a board of 3 * 3, we have 9 spaces and 9 places In which we have 8
tiles which are numbered. I have random tiles numberd 1,2,3,4,5,6,7,8 I have numbered tiles And
I have one empty space Now over here first of all I have to represent the problem precisely That I
have. I know that this is my start state Now I want goal state Where I want to reach Otherwise
you will keep on searching. You are starting to explore your searching And these are different
branches These different branches are getting formed. If we keep the space on left side Then
this will be formed over here like this If I do it on left then 5 will come here. If you move it left
side then the next state That will be one of my resultant state Then comes cost We measure it in
cost What is the meaning of cost?
We do searching in 2 ways either we do it uninformed or blind search. In uninformed search we
use concept of heuristic due to which we try to solve the problem quickly In which we go
towards benefit towards local benefit So that my problem can get solved quickly Because
uninformed takes exponential time Because in uninformed B^d Time complexity is O ( b^d )
In today 's 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 , And if you will start
preparation according to this , 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. Thank
you for your help.
, Artificial intelligence
What is Artificial Intelligence | Learn AI with Real Life
Examples | Can Machine Think??
going to discuss Introduction to Artificial Intelligence. 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"
, Artificial intelligence
What is State Space Search | Introduction to Problem Solving
in Artificial Intelligence
is going to discuss State space searching It is one of the major application of artificial
intelligence. Problem solving That is how to solve a particular problem And if we talk about era
of 1960-1970 At that time the major research that was done in artificial intelligence That is done
on problem solving And in which we talk related to game Like tic tac toe game is there. In 8
puzzle problem that we have a board of 3 * 3, we have 9 spaces and 9 places In which we have 8
tiles which are numbered. I have random tiles numberd 1,2,3,4,5,6,7,8 I have numbered tiles And
I have one empty space Now over here first of all I have to represent the problem precisely That I
have. I know that this is my start state Now I want goal state Where I want to reach Otherwise
you will keep on searching. You are starting to explore your searching And these are different
branches These different branches are getting formed. If we keep the space on left side Then
this will be formed over here like this If I do it on left then 5 will come here. If you move it left
side then the next state That will be one of my resultant state Then comes cost We measure it in
cost What is the meaning of cost?
We do searching in 2 ways either we do it uninformed or blind search. In uninformed search we
use concept of heuristic due to which we try to solve the problem quickly In which we go
towards benefit towards local benefit So that my problem can get solved quickly Because
uninformed takes exponential time Because in uninformed B^d Time complexity is O ( b^d )
