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Which analytic technique is NOT typically used to address business requirements?
Which analytic technique is NOT typically used to address business requirements?A . Regression analysisB . ClusteringC . Decision treesD . ProofreadingView AnswerAnswer: D
Which statement best differentiates machine learning from deep learning?
Which statement best differentiates machine learning from deep learning?A . Machine learning algorithms perform better on structured data, while deep learning excels with unstructured data like images and text.B . Deep learning algorithms require less data to learn.C . Machine learning models are always transparent, whereas deep learning models cannot...
Which method is used for merging records in SPSS Modeler Merge node that allows specifying a requirement to be satisfied in order for the merge to take place?
Which method is used for merging records in SPSS Modeler Merge node that allows specifying a requirement to be satisfied in order for the merge to take place?A . KeyB . OrderC . FilterD . ConditionView AnswerAnswer: D
Which of the following is true about the AUC measure in the context of classification models?
Which of the following is true about the AUC measure in the context of classification models?A . It represents the degree of separability between classes.B . It is less useful when the classes are highly imbalanced.C . It indicates the number of false positives.D . It measures the model's accuracy...
What does this typically involve?
In the context of deployment environments, understanding resources is crucial. What does this typically involve?A . Choosing the most aesthetically pleasing user interfaceB . Determining the computational power and memory requirements for the deployed solutionC . Selecting the programming language with the least number of keywordsD . Focusing exclusively on...
F1-score is particularly useful when:
F1-score is particularly useful when:A . You need a balance between precision and recall.B . The dataset size is extremely large.C . Only the model's accuracy matters.D . The data is completely balanced.View AnswerAnswer: A
When anticipating additional data sources that might be relevant, what is a crucial factor to consider?
When anticipating additional data sources that might be relevant, what is a crucial factor to consider?A . The color scheme of the data visualizationB . The data source's popularity on social mediaC . The relevance of the data source to the business problemD . The graphical interface of the data...
During which phase should these non-informative entries be removed in the CRISP-DM model?
An E-retailer uses several important data sources, including web logs which contain all of the information on how customers navigate the web site. There are non-informative entries in the web logs that need to be removed. During which phase should these non-informative entries be removed in the CRISP-DM model?A ....
Which two packages can be used to customize the software configuration of a Jupyter notebook environment in Cloud Pak for Data?
Which two packages can be used to customize the software configuration of a Jupyter notebook environment in Cloud Pak for Data?A . vimB . pipC . sudoD . bashE . condaView AnswerAnswer: BE
Which statistical method reduces the number of attributes by lumping highly correlated attributes together?
Which statistical method reduces the number of attributes by lumping highly correlated attributes together?A . BinningB . Principal Component Analysis (PCA)C . Long Short Term Memory Network (LSTM)D . Synthetic Minority Over-sampling Technique (SMOTE)View AnswerAnswer: B
