AIP-210 무료 덤프문제 온라인 액세스

Which of the following methods can be used to rebalance a dataset using the rebalance design pattern?

• A.Boosting
• B.Weighted class
• C.Bagging
• D.Stacking

In addition to understanding model performance, what does continuous monitoring of bias and variance help ML engineers to do?

• A.Respond to hidden attacks
• B.Detect hidden attacks
• C.Prevent hidden attacks
• D.Recover from hidden attacks

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 using all of the data over the 10- year period, with age as the dependent variable and the biomarkers as predictors.
Which assumption of linear regression is being violated?

• A.Equality of variance (Homoscedastidty)
• B.Independence
• C.Normality
• D.Linearity

When should you use semi-supervised learning? (Select two.)

• A.There is a large amount of unlabeled data to be used for predictions.
• B.Labeling data is challenging and expensive.
• C.There is a large amount of labeled data to be used for predictions.
• D.A small set of labeled data is biased toward one class.
• E.A small set of labeled data is available but not representative of the entire distribution.

You are developing a prediction model. Your team indicates they need an algorithm that is fast and requires low memory and low processing power. Assuming the following algorithms have similar accuracy on your data, which is most likely to be an ideal choice for the job?

• A.Ridge regression
• B.Deep learning neural network
• C.Random forest
• D.Support-vector machine