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Personal data should not be disclosed, made available, or otherwise used for purposes other than specified with which of the following exceptions? (Select two.)
Personal data should not be disclosed, made available, or otherwise used for purposes other than specified with which of the following exceptions? (Select two.)A . If it is for a good cause.B . If it was collected accidentally.C . If it was requested by the authority of law.D . If...
Which assumption of linear regression is being violated?
For each of the last 10 years, your team has been collecting data from a group of subjects, including their age and numerous biomarkers collected from blood samples. You are tasked with creating a prediction model of age using the biomarkers as input. You start by performing a linear regression...
Which of the following statements are true regarding highly interpretable models? (Select two.)
Which of the following statements are true regarding highly interpretable models? (Select two.)A . They are usually binary classifiers.B . They are usually easier to explain to business stakeholders.C . They are usually referred to as "black box" models.D . They are usually very good at solving non-linear problems.E ....
Which is the best algorithm for this use case?
For a particular classification problem, you are tasked with determining the best algorithm among SVM, random forest, K-nearest neighbors, and a deep neural network. Each of the algorithms has similar accuracy on your data. The stakeholders indicate that they need a model that can convey each feature's relative contribution to...
When working with textual data and trying to classify text into different languages, which approach to representing features makes the most sense?
When working with textual data and trying to classify text into different languages, which approach to representing features makes the most sense?A . Bag of words model with TF-IDFB . Bag of bigrams (2 letter pairs)C . Word2Vec algorithmD . Clustering similar words and representing words by group membershipView AnswerAnswer:...
Which of the following describes a neural network without an activation function?
Which of the following describes a neural network without an activation function?A . A form of a linear regressionB . A form of a quantile regressionC . An unsupervised learning techniqueD . A radial basis function kernelView AnswerAnswer: A Explanation: A neural network without an activation function is equivalent to...
Which of the following is the most important aspect that the scientist cannot forget to include?
A data scientist is tasked to extract business intelligence from primary data captured from the public. Which of the following is the most important aspect that the scientist cannot forget to include?A . CyberprotectionB . CybersecurityC . Data privacyD . Data securityView AnswerAnswer: C Explanation: Data privacy is the right...
R-squared is a statistical measure that:
R-squared is a statistical measure that:A . Combines precision and recall of a classifier into a single metric by taking their harmonic mean.B . Expresses the extent to which two variables are linearly related.C . Is the proportion of the variance for a dependent variable thaf’ s explained by independent...
Which of the actions below will NOT work to fix this underfitting?
You train a neural network model with two layers, each layer having four nodes, and realize that the model is underfit. Which of the actions below will NOT work to fix this underfitting?A . Add features to training dataB . Get more training dataC . Increase the complexity of the...
Which two of the following decrease technical debt in ML systems? (Select two.)
Which two of the following decrease technical debt in ML systems? (Select two.)A . Boundary erosionB . Design anti-patternsC . Documentation readabilityD . Model complexityE . RefactoringView AnswerAnswer: CE Explanation: Technical debt is a metaphor that describes the implied cost of additional work or rework caused by choosing an easy...
