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PD 206 Artificial Intelligence 2022
Final Exam
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Find mean and median of following numbers 23, 34,
26,
12,
56,
23,
34,
29
2 points
29.625, 27.5
27.45, 30.543
25.55, 45.01
None of the above
Clear selection
Given that E and F are events such that P(E) = 0.6, P(F) = 0.3 and P(E∩F) = 0.2, then P(E|F) ?
2 points
2/3
1/3
3/4
1/4
Clear selection
Forward chaining systems are _____________ where as backward chaining systems are ___________
1 point
Goal-driven, goal-driven
Goal-driven, data-driven
Data-driven, goal-driven
Data-driven, data-driven
Clear selection
For the following Case Based Reasoning system, find the closest case for Case number 5
2 points
Case No. 1
Case No. 2
Case No. 3
Case No. 4
Clear selection
In the regression equation y = bo + b1x, bo is the
1 point
slope of the line
independent variable
y intercept
none of the above
Clear selection
In the regression equation y = bo + b1x, what is the correlation between x and y?
1 point
b0
b1
0
1
Clear selection
Graphs A,B, C left to right shows the cost function with respect to number of iterations, which graph shows best value of learning parameter
1 point
A
B
C
Can not say
Clear selection
Graphs A,B, C left to right shows the cost function with respect to number of iterations, which graph shows Biggest value of learning parameter
1 point
A
B
C
Can not say
Clear selection
What is advantage of DFS over BFS
1 point
Space Complexity
Time complexity
None
Infinite Loop
Clear selection
Let’s assume; a diagnostic test has 99% accuracy and 60% of all people have Covid-19. If a patient tests positive, what is the probability that they actually have the disease?
3 points
0.993
0.967
0.667
0.010
Clear selection
Practical problem of A* Search
1 point
Space complexicity
Time Complexicity
Optimality
None
Clear selection
What is the frequency response of a Sine wave
1 point
A square wave
A Cosine wave
A spike
A triangular wave
Clear selection
Which logical problem is not linearly separable
1 point
AND
XOR
OR
NOT
Clear selection
In the following neural network example, calculate the error E
2 points
0.327
0.107
0.572
0.99
Clear selection
How we update weights in Backpropagation algorithm
1 point
Partially differentiating bias with respect to weight
Partially differentiating error with respect to weight
Changing test dataset
Adding more training samples
Clear selection
What is k in k-means clustering
1 point
Number of data points
Number of clusters
Number of classes
None of the above
Clear selection
What is advantage of K-medoid clustering over K-means
1 point
Less susceptible to outlier
Less time complexicity
Less space complexity
None of the above
Clear selection
Which of the following fact(s) indicate(s) overfitting in a machine learning model
1 point
high error during training, low error during testing
high error during training, high error during testing
low error during training, high error during testing
low error during training, low error during testing
Clear selection
Which of the following fact(s) indicate(s) underfitting in a machine learning model
1 point
high error during training, low error during testing
high error during training, high error during testing
low error during training, high error during testing
low error during training, low error during testing
Clear selection
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