Fact Check: Artificial Intelligence Syllabus for NTA NET Exam Guide

Hello friends welcome to gate smashers In today's video we are going to see Syllabus of artificial intelligence

And we are discussing this specially for NTA and NET exam But even if you are preparing for your college or university level exam also Then the syllabus if Artificial intelligence is mostly same only

But if we talk about NTA and NET exam Then they have already given syllabus of Artificial Syllabus on their website So the first point I would like to tell over here

That the syllabus I have written over here And what is the motive to make this video Because when syllabus is already available

Each and every point is already given Then what is the benefit of this video for you So what happens whenever I make video of syllabus

Before this I had made syllabus of DBMS I had made syllabus of Networks, Operating system Specially for NTE NAT exam

And GATE exam I have given the link in the description So you please check that also once

In that also I had told one point only Whenever you are preparing for competitive exam Then it very necessary in today's time to do hard work and smart work

If you see interview of all the toppers Or all the people who have qualified exam Then they generally work with hard work and smart work both

So obviously you only have to hard work But smart work, how to make strategy That we are helping

So over here first of all I want to tell you I have picked the main topics directly from the syllabus only But over here what strategy we have to make

We are making the strategy All the questions that have came till now From Artificial intelligence

On the basis of that we will decide the probability Which are such topics whose probability is maximum You have to do all that topics and do not leave them

What is the second point, many times students Either they have mastery in particular artificial intelligence subject They find it a very interesting subject

They study properly at their own end But for maximum students think that we will study once for exam Or we prepare according to what will come in the exam

So when we purchase the book Standard book For artificial intelligence

Rich and Knight, the standard book that we follow That is Rich and Knight By the author Rich and Knight

But there are Indian authors also Like Soraj Kaushik If you follow his book for you

In that also you will get the same content And you will get content on easy language But the language of content in this

You will find it a bit tough But it is obvious if you are doing preparation in less time Then you will be demotivated by seeing the book

That how can we follow this book How we will cover all the topics of the subject So over here with my complete analysis

I am telling that only Which are such topic Which would definitely have to do it on go

Until how much depth you have to do Sometimes it happens that we do it in complete deep But if sufficient time then you can definitely do it

Because your knowledge will increase with this And knowledge will increase only when you will go deep into it Deep learning concept also tells the same

Don't just learn it from above learn that concept in deep But if you want to do it in deep then you should have sufficient time So this syllabus this video is beneficial for them also

But specially for them who want to prepare this subject in less time So for that first of all I want to tell you 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

In game playing over here we talk about Specially minmax algorithm And other than that we have alpha beta cut off

These are the main topics over here You have to do this topic and go And along with that over here constraint satisfaction topics also come

Where we use crypt analysis And I will also tell one more small point in this DFS and BFS

Although we discuss this in data structure also What is DFS what is BFS technique But all these algorithms

A*, AO*, Best first Hill climbing You should know about them in detail

How do they work In which all the questions have came on them You definitely do those question once and go

And I will also tell from the point of view of questions What is the main motive of this channel We are covering the syllabus the content of student in a best way

Second is assignments In assignments also we are putting those questions only Which are the most expected questions

So over here you have to prepare the content also Hand on the basis of that content you also have to do the questions I've already added the links of assignment in the description box

So you definitely check that assignment also You will come to know with the questions Where you have to use those topics

We have read the concept But how to use that concept What are its real life application

How we have to bring them into calculation That obviously you will come to know after doing the question only So the first point over here, that is why I am giving 3 start over here

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 A* Or it is best first Or you will get questions on DFS and BFS, you will get similar kind of questions

Sometimes there were theory questions or sometimes they were questions related to graphs Similarly if you talk about fuzzy set Over here we have crisp or fuzzy set related questions

Or alpha cut and operations Union, intersection, minus operation You will get maximum questions on them

So these are very logical questions If you will do them one time then definitely you will come to know How we have to solve them

So I'm keeping these 2 topics at top priority over here Then I want to give neural network 2 stars Over here I am giving 2 stars to neural network that does not mean

You do not have to do this and go This is also in most important only But compared to the number of questions asked

How many questions have been asked On that basis we are giving this 2 stars That means artificial neural network

Over here we have neural network and genetic algorithm And along with that over here we have Single, multilayer, feedforward network

In recurrent we have hope field network And we have concept of machine learning In machine learning generally we talk about supervised and unsupervised learning

So you should know these learning strategies In these strategies How we will, which is theoretically only

Mainly these topics are related to theory only After that I want to tell that Knowledge representation

Knowledge representation, planning, NLP Multiagent I again want to give 2 stars to multiagent

Because in multiagent related to types of agent And their properties Those agent use current history

They use past history Or how they work You will get questions related to that

And you will get questions of very simple level over here But other than that knowledge representation NLP, planning

I am giving them one star What is the meaning to say As compared to them

You can say that the number of questions are less But you have to do them and go Specially which topics in them

In knowledge representation Which approaches are there to represent the knowledge Predicate logic

This predicate logic topic I am giving 2 stars internally in the topic of knowledge representation I have given this complete topic single star

But I'm giving double start a predicate logic Because the concept of logic comes in mathematics also And this concept comes in artificial intelligence also

So the meaning of double star is that You don't have to leave this topic and go in knowledge And along with that we have reasoning

In reasoning we have statistical reasoning Forward and backward reasoning is there You should just know the theory about these main topics

That what is it How does it work That is all

Then planning If we talk about planning Overview what is planning, what are planning graphs, which types are there

But in that if we talk about hierarchical and goal stack planning These 2 are the most important methods Other than all

Definitely do an overview about them and go And you will get questions from that only Then NLP

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 There are many topics like genetic algorithm

If you study genetic algorithm in a proper way Then definitely you will take a lot of time In studying all the algorithms

But what happens is, in competitive exams New topics are introduced So in new topics they never asked questions in detail

Or they do not ask question in deep Questions are always asked from top only But if I give you a simple example

This time only in the exam in December In December 2018 exam If we talk about that

Over there related to big data In DBMS a new topic is added big data So if you see carefully the questions on big data

Then there were very simple level questions like related to big data In the same way if we talk about genetic algorithm Or the concept of machine learning

So in this it is not that you will get concepts in very deep No, they will ask of basic level only Why? Because they will go in deep slowly

Initially they will ask of basic level only But if you talk about approach to AI Heuristic

Over here we cannot say that they will ask of basic level Or if we talk about fuzzy logic Then it is possible that they might not ask of basic level in fuzzy logic

Why? Because they are asking questions on these topics from many years So obviously they will ask one step further they will increase the difficulty level But over here still the difficulty level has not increased

Because these questions are not coming that much So whenever they will come they will come of basic level only Then I have already discussed about multiagent

Types and properties I have already given star to fuzzy set So what is the funda of star over here, it is priority

And guys I'm telling you this on the basis of my analysis only The whole subject All the questions that have came of artificial intelligence

I have analyzed all those questions 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 topic you can ignore a bit Thank you