UGC NET-JRF QUALIFIED
HTET QUALIFIED
Pursuing Ph.D (CSE)
M.Tech( CSE) 2016
B.Tech (CSE) 2014
Diploma (IT) 2011

Neeraj 

This course is about artificial intelligence subject which is unit 10 in NTA NET 2019 exam syllabus. I will cover this subject according to the syllabus. It will help the student to prepare exam exactly like syllabus given.

Prepare for UGC NET 2019 by watching our free online lessons covering UGC Net syllabus and also helping you solve Previous year question papers. Pursue your dream of JRF.

NTA-UGC-NET & SET Exams

Hindi

(Hindi) Artificial intelligence (AI): NTA-UGC NET

Artificial Neural Networks (ANN)

Artificial Intelligence (AI)

Computer Science & Application

NET Exams

Ace the toughest competitive and government exams in India 

Test Preparation

To learn a subject in a better way. First we should learn about some of the fundamentals. In this video i teach you about fundamentals of artificial intelligence.

Introduction of Artificial Intelligence (in Hindi)

Turing test is used to determined whether a machine is intelligent or not. In this lesson we learn about the truing test in details with example.

Topic 1: Turing Test (in Hindi)

Rational agent carries out an action with the best outcome after considering past and current percepts. In this lesson we have learn about the types of agents

Topic 2: Rational Agent Approaches (in Hindi)

In this lesson further rational agent approaches are defined with easy example.

Topic 2.1 Rational Agent Approaches (in Hindi)

In this lesson state space representation defined with the example. Also explain the type of search techniques.

Topic 3: State Space Representation (in Hindi)

Heuristic search technique introduction and its types explained with diagram.

Topic 4: Heuristic Search Techniques (Hindi)

In this lesson hill climbing algorithm explained with example. Also explain limitation of hill climbing.

Topic 4.1: Hill climbing algorithm (Hindi)

Production system is the another technique of heuristic search. In this lesson we have learn about features, classes of production system.

Topic 4.2: production system and its classes (Hindi)

In this video we have learn constraints satisfaction problem and Best first search algorithm with example.

Topic 4.3: simulated annealing H.S & BFS (Hindi)

In this lesson game playing In AI explained in detail and also explain its two algorithm.

Topic 5: game playing (Hindi)

Minimax algorithm explained in detail with examples.

Topic 6: minimax algorithm (Hindi)

Alpha beta algorithm explained in detail with example.

Topic 7: alpha beta pruning algorithm (Hindi)

🌟 MCA Gold Medalist 🌟 Star Educator 🌟Gate Qualified 🔴UGC NET qualified🌟BOOK published on LINUX ADMINISTRATION by kalyani publish

Nisha Mittal

In this course, Nisha Mittal will provide previous year questions with solutions of artificial intelligence of NTA UGC NET Computer Science.

(Hindi) Artificial Intelligence Previous Year Questions: NTA UGC NET (CS)

In this course Nisha Mittal will provide solutions of fuzzy logic previous year questions of NTA UGC NET computer science

(Hindi) NTA-UGC NET: Fuzzy Logic and Neural Network

Varsha Agarwal

In this course, the educator discusses Fuzzy logic with questions helpful for NTA UGC NET Aspirants.

(Hindi) PYQ of Fuzzy Maths and Neural Network for NTA NET

(Hindi) NTA: Crash Course on Fuzzy Logic

In this course, the educator discusses perception and perception learning with questions helpful for NTA UGC NET Aspirants.

Lessons

12 lessons • 2h 6m

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Introduction of Artificial Intelligence (in Hindi)

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Topic 1: Turing Test (in Hindi)

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Topic 2: Rational Agent Approaches (in Hindi)

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Topic 2.1 Rational Agent Approaches (in Hindi)

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Topic 3: State Space Representation (in Hindi)

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Topic 4: Heuristic Search Techniques (Hindi)

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Topic 4.1: Hill climbing algorithm (Hindi)

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Topic 4.2: production system and its classes (Hindi)

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Topic 4.3: simulated annealing H.S & BFS (Hindi)

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Topic 5: game playing (Hindi)

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