A data scientist is analyzing a data set with categorical features and would like to make those features more useful when building a model. Which of the following data transformation techniques should the data scientist use? (Choose two.)
A data scientist is preparing to brief a non-technical audience that is focused on analysis and results. During the modeling process, the data scientist produced the following artifacts:
Which of the following artifacts should the data scientist include in the briefing? (Choose two.)
A computer vision model is trained to identify cats on a training set that is composed of both cat and dog images. The model predicts a picture of a cat is a dog. Which of the following describes this error?
A data analyst wants to find the latitude and longitude of a mailing address. Which of the following is the best method to use?
Which of the following compute delivery models allows packaging of only critical dependencies while developing a reusable asset?
