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Artificial Intelligence & Machine Learning (AICTE - January- 2023)

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1

  

 

Artificial Intelligence i.

 

(b)

    

(a)

 

 

 

(d)

               

(c)

         

"Father of AI --- ii.

 

 

 

Blind Search

                    

.iii

Small Search Space (b) Real- Life Situation (a)

All (d) Complex Game (c)

 

application/applications

Artificial Intelligence .iv All (d) Vision System (c) Gaming (b) EXpert Systems (a)

 

 

 

Rational Agent .v

False (b) True (a)

 

 

 

 

 

Diploma in Engineering

V Semester Exams: AICTE - January- 2023

DPIT526OET - Artificial Intelligence & Machine Learning

Total Time : 3 hrs Total Marks :60

P.T.O. 1/2

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Final output

    

Branches

     

Minimax

Search Algorithm .vi



---

     

 

 

---

           

(Neural network) .vii

            

(Classifiction)

    

Decision Tree .viii

False (b) True (a)

     

Evolutionary Computation .ix

  

 

 

 

---

         

AI, .x

 

 

 

 

Problem Solving

AI .2

      

Adversarial Search

    

.3

 

Expert Systems .4

 

 

Constrained Optimization Problems .5

 

 

 

Decision support system .6

      

Decision Trees .7

      

Neural Networks .8

 

 

 

Uninformed

 

Informed Search .9

 

 

Constraint Satisfaction Problems

    

.10

      

Knowledge representation

 

Reasoning .11

 

 

Ensemble Learning .12

 

 

Reinforcement learning .13

P.T.O. 1/2

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