a) Trueb) False Answer: bExplanation: If X predicts Y, it does not mean X causes ...
View QuestionWhich of the following data mining technique is used to uncover patterns in data?
a) Data baggingb) Data bootingc) Data mergingd) Data Dredging Answer: dExplanation: Data dredging, also called ...
View QuestionWhich of the following is commonly referred to as ‘data fishing’?
a) Data baggingb) Data bootingc) Data mergingd) none of the mentioned Answer: dExplanation: Data dredging ...
View QuestionWhich of the following is a good way of performing experiments in data science?
a) Measure variabilityb) Generalize to the problemc) Have Replicationd) All of the mentioned Answer: dExplanation: ...
View QuestionWhich of the following approach should be used if you can’t fix the variable?
a) randomize itb) non stratify itc) generalize itd) none of the mentioned Answer: aExplanation: If ...
View QuestionWhich of the following is the top most important thing in data science?
a) answerb) questionc) datad) none of the mentioned Answer: bExplanation: The second most important is ...
View QuestionPoint out the correct statement.
a) If equations are known but the parameters are not, they may be inferred with data analysisb) If ...
View QuestionBeyond Volume, variety and velocity are the issues of big data veracity.
a) Trueb) False Answer: aExplanation: Data Veracity is uncertain or imprecise data.
View QuestionWhich of the following focuses on the discovery of (previously) unknown properties on the data?
a) Data miningb) Big Datac) Data wranglingd) Machine Learning Answer: aExplanation: Data munging or data ...
View Question3V’s are not sufficient to describe big data.
a) Trueb) False Answer: aExplanation: IBM data scientists break big data into four dimensions: volume, ...
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