This response involves updating the model by retraining it on more recent data to adapt to changes in the underlying data distribution and maintain its performance.
"... it can trigger a notification or an action to recreate a new model using newer data."
https://www.databricks.com/blog/2019/09/18/productionizing-machine-learning-from-deployment-to-drift-detection.html
The correct answer is B. Retraining and deploying a model on more recent data12. When drift is identified in a machine learning application, one common response is to retrain the model on more recent data to account for the changes12. This can help to maintain the performance and accuracy of the model
upvoted 1 times
...
Log in to ExamTopics
Sign in:
Community vote distribution
A (35%)
C (25%)
B (20%)
Other
Most Voted
A voting comment increases the vote count for the chosen answer by one.
Upvoting a comment with a selected answer will also increase the vote count towards that answer by one.
So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.
hugodscarvalho
10 months agorandom_data_guy
11 months agoBokNinja
11 months, 1 week ago