Machine Learning - Practice Test

[#316] scikit-learn also provides functions for creating dummy datasets from scratch:

(A) make_classification()

(B) make_regression()

(C) make_blobs()

(D) all above

(E) make_classification()

(F) make_regression()

(G) make_blobs()

(H) all above

Correct Answer

(D) all above
(H) all above

[#317] Support vectors are the data points that lie closest to the decision surface.

(A) TRUE

(B) FALSE

(C) TRUE

(D) FALSE

Correct Answer

(A) TRUE
(C) TRUE

[#318] Lasso can be interpreted as least-squares linear regression where

(A) weights are regularized with the l1 norm

(B) the weights have a gaussian prior

(C) weights are regularized with the l2 norm

(D) the solution algorithm is simpler

(E) weights are regularized with the l1 norm

(F) the weights have a gaussian prior

(G) weights are regularized with the l2 norm

(H) the solution algorithm is simpler

Correct Answer

(A) weights are regularized with the l1 norm
(E) weights are regularized with the l1 norm

[#319] Which of the following method is used to find the optimal features for cluster analysis

(A) k-means

(B) density-based spatial clustering

(C) spectral clustering find clusters

(D) all above

(E) k-means

(F) density-based spatial clustering

(G) spectral clustering find clusters

(H) all above

Correct Answer

(D) all above
(H) all above

[#320] Perceptron Classifier is

(A) unsupervised learning algorithm

(B) semi-supervised learning algorithm

(C) supervised learning algorithm

(D) soft margin classifier

(E) unsupervised learning algorithm

(F) semi-supervised learning algorithm

(G) supervised learning algorithm

(H) soft margin classifier

Correct Answer

(C) supervised learning algorithm
(G) supervised learning algorithm

Machine Learning - Study Mode

[#316] scikit-learn also provides functions for creating dummy datasets from scratch:

Correct Answer

[#317] Support vectors are the data points that lie closest to the decision surface.

Correct Answer

[#318] Lasso can be interpreted as least-squares linear regression where

Correct Answer

[#319] Which of the following method is used to find the optimal features for cluster analysis

Correct Answer

[#320] Perceptron Classifier is

Correct Answer