You are a data scientist leveraging the Oracle Cloud Infrastructure (OCI) Language AI service for various types of text analyses. Which TWO capabilities can you utilize with this tool?
Where do calls to stdout and stderr from score.py go in a model deployment?
As a data scientist, you create models for cancer prediction based on mammographic images.
The correct identification is very crucial in this case. After evaluating two models, you arrive at the
following confusion matrix.
Model 1 has Test accuracy is 80% and recall is 70%.
• Model 2 has Test accuracy is 75% and recall is 85%.
Which model would you prefer and why?
data scientist, you use the Oracle Cloud Infrastructure (OCI) Language service to train custom
models. Which types of custom models can be trained?