Question:

What does learning exactly mean?

A.

robots are programed so that they can perform the task based on data they gather from sensors.

B.

a set of data is used to discover the potentially predictive relationship.

C.

learning is the ability to change according to external stimuli and remembering most of all previous experiences.

D.

it is a set of data is used to discover the potentially predictive relationship.

Answer» c. learning is the ability to change according to external stimuli and remembering most of all previous experiences.

Question:

if there is only a discrete number of possible outcomes (called categories), the process becomes a           .

A.

regression

B.

classification.

C.

modelfree

D.

categories

Answer» b. classification.

Question:

Which of the following model model include a backwards elimination feature selection routine?

A.

mcv

B.

mars

C.

mcrs

D.

all above

Answer» b. mars

Question:

Which of the following function provides unsupervised prediction ?

A.

cl_forecastb

B.

cl_nowcastc

C.

cl_precastd

D.

none of the mentioned

Answer» d. none of the mentioned

Question:

Features being classified is independent of each other in Nave Bayes Classifier

A.

false

B.

true

Answer» b. true

Question:

          provides some built-in datasets that can be used for testing purposes.

A.

scikit-learn

B.

classification

C.

regression

D.

none of the above

Answer» a. scikit-learn

Question:

The probability that a person owns a sports car given that they subscribe to automotive magazine is 40%. We also know that 3% of the adult population subscribes to automotive magazine. The probability of a person owning a sports car given that they don’t subscribe to automotive magazine is 30%. Use this information to compute the probability that a person subscribes to automotive magazine given that they own a sports car

A.

0.0368

B.

0.0396

C.

0.0389

D.

0.0398

Answer» b. 0.0396

Question:

Naive Bayes classifiers are a collection——————of algorithms

A.

classification

B.

clustering

C.

regression

D.

all

Answer» a. classification

Question:

It is possible to design a Linear regression algorithm using a neural network?

A.

a) true

B.

b) false

Answer» a. a) true

Question:

Which of the following is true about Residuals ?

A.

a) lower is better

B.

b)higher is better

C.

c)a or b depend on the situation

D.

d)none of these

Answer» a. a) lower is better