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. A researcher ants to study the association bet een gender and usage of mobile
phone. Data collected for this study ill be . ample aper,
a. ualitative data b. uantitative data
c. ontinuous data d. lassified data
. rimary ay to collect DA A Data athering process) ample aper,
a. periment b. urvey
c. Intervie d. Observation
. he data scientist ill use for predictive modelling. ample aper,
a. Artificial Intelligence b. achine earning
c. raining et d. Deep earning
. hich one does O belong to lassification loss ample aper,
a. og loss b. ean Absolute rror
c. ponential oss d. inge oss
. hich process does O come under apstone ro ect ample aper,
a. AI odel b. AI ro ect ycle
c. Deployment d. Data athering
. hich one does O belong to egression loss ample aper,
a. og oss b. ean Absolute rror
c. og cosh oss d. uantile oss
. Adding a non important feature to a linear regression model may result in. ample aper,
i. Increase in square
ii. Decrease in square
a. Only is correct b. Only is correct
c. ither or d. either nor
. hich of the follo ing options is are true for fold cross validation ample aper,
i. Increase in ill result in higher time required to cross validate the result.
ii. igher values of ill result in higher confidence on the cross validation result as compared
to lo er value of .
iii. If , then it is called eave one out cross validation, here is the number of observations.
a. and b. and
c. and d. , and
B. Fill in the blanks.
. he technique is used for evaluating an AI model and splits the dataset into t o sets.
. A AI model is used to forecast trends for a product.
. A is a set of historical data in hich the outcomes are kno n beforehand.
. is the sum of squared distances bet een our actual values and predicted values.
. A determines ho ell a certain algorithm models the data.
. focuses on building either descriptive or predictive models.
. he ability to predict hat might happen is the foundation of .
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