**Q11. Which of the following is a common use of unsupervised clustering?**

(A)detect outliers

(B)determine the best set of input attributes for supervised learning

(C)evaluate the likely performance of a supervised learner model

(D)determine if meaningful relationships can be found in a dataset

(E)All of a,b,c, and d are common uses of unsupervised clustering.

**Correct Answer: E**

**Q12. The average positive difference between computed and desired outcome values.**

(A)root mean squared error

(B)mean squared error

(C)mean absolute error

(D)mean positive error

**Correct Answer: C**

**Q13. Given desired class C and population P, the lift is defined as**

(A)the probability of class C given population P divided by the probability of C given a sample taken from the population.

(B)the probability of population P given a sample taken from P.

(C)the probability of class C given a sample taken from population P.

(D)the probability of class C given a sample taken from population P divided by the probability of C within the entire population P.

**Correct Answer: D**

**Q14. Which of the following is (are) application(s) of deep learning?**

(A)Video captioning

(B)Visual question answering

(C)Video summarization

(D)All of the above

**Correct Answer: D**

**Q15. Deep learning works well despite problem(s).**

(A)High capacity (Susceptible to overfitting)

(B)Numerical instability (vanishing/exploding gradient)

(C)Sharp minima

(D)All of the above

**Correct Answer: A**

**Q16. An average human brain has around neurons(approx)**

(A)102

(B)1011

(C)1010

(D)None of the above

**Correct Answer: B**

**Q17. Which of the following statements is true for the Perceptron Learning Algorithm?Statement I: Threshold needs to be hand-codedStatement II: Threshold can be learned**

(A)I & II

(B)I

(C)II

(D)None of the statements

**Correct Answer: C**

**Q18. Sigmoid is**

(A)Smooth

(B)Continuous

(C)Differentiable

(D)All of these

**Correct Answer: D**

**Q19. Which kind of optimization is required in a 2-class linear SVM training procedure?**

(A)Linear

(B)Quadratic

(C)Cubic

(D)Depends on the dimension of the data

**Correct Answer: B**

**Q20. The number of Lagrange multipliers required for estimating SVM training parameters depends on…**

(A)The dimension of the data

(B)The number of classes

(C)The total number of support vectors from training samples

(D)All of the above

**Correct Answer: C**