Q121: Choose the proper alternatives for machine learning (ML) and artificial intelligence (AI), (A) ML is an alternative method of programming intelligent computers. (B) The aims of ML and AI are significantly different. (C) Machine learning is a collection of algorithms that converts a dataset into software. (D) Artificial intelligence (AI) is software that can simulate the human mind.
(A) (A), (B), (D)
(B) (A), (C), (D)
(C) (B), (C), (D)
(D) All are correct
Q122: Simple regression assumes a ……….. relationship between the input attribute and output attribute
Q123: When the mean values computed for the current iteration of the procedure are equal to the mean values computed for the previous iteration, the unsupervised clustering process stops – Which algorithm has this property?
(A) agglomerative clustering
(B) conceptual clustering
(C) K-Means clustering
(D) expectation maximization
Q124: What is a top-down parser?
(A) Begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual preterminal symbols are written
(B) Begins by hypothesizing a sentence (the symbol S) and successively predicting upper level constituents until individual preterminal symbols are written
(C)Begins by hypothesizing lower level constituents and successively predicting a sentence (the symbol S)
(D) Begins by hypothesizing upper level constituents and successively predicting a sentence (the symbol S)
Q125: In a perceptron, what is the order of the following tasks? (1). Perceptron weights should be randomly initialized (2). Proceed to the next dataset batch (3). Change the weights if the forecast does not match the output (4). Compute an output for a sample input.
(A) 1, 2, 3, 4
(B) 4, 3, 2, 1
(C) 3, 1, 2, 4
(D) 1, 4, 3, 2
Q126: Which of the following statements about convolutional neural networks (CNNs) for image processing is correct?
(A) Filters in earlier layers tend to include edge detectors
(B) Pooling layers reduce the spatial resolution of the image
(C) They have more parameters than fully connected networks with the same number of layers and the same numbers of neurons in each layer
(D) A CNN can be trained for unsupervised learning tasks, whereas an ordinary neural net cannot
Q127: How does a ridge regression estimator’s bias-variance decomposition compare to that of ordinary least squares regression? (Choose one.)
(A) Ridge has larger bias, larger variance
(B) Ridge has smaller bias, larger variance
(C) Ridge has larger bias, smaller variance
(D) Ridge has smaller bias, smaller variance
Q128: What happens to the confidence interval when certain outliers are introduced into the data?
(A) Confidence interval is robust to outliers
(B) Confidence interval will increase with the introduction of outliers.
(C) Confidence interval will decrease with the introduction of outliers.
(D) We cannot determine the confidence interval in this case.
Q129: Assume a life insurance firm offers a $240,000 one-year term life insurance policy for $210 to a 25-year-old girl. The female’s chances of surviving the year are 0.999592. Determine the insurance company’s estimated value for this policy.
Q130: HIV is still a terrifying condition for which to even get tested. When a recruit is recruited in the United States military, he or she is tested for HIV. They are subjected to three rounds of Elisa (an HIV test) before being declared positive. The prior chance of anybody being infected with HIV is 0.00148. Elisa has a true positive rate of 93 percent and a true negative rate of 99 percent. What is the likelihood that a candidate has HIV if he tested positive on the first Elisa test? The prior chance of anybody being infected with HIV is 0.00148. Elisa has a true positive rate of 93% and a true negative rate of 99%.