Q: 18
[Machine Learning Implementation and Operations]
A bank's Machine Learning team is developing an approach for credit card fraud detection The
company has a large dataset of historical data labeled as fraudulent The goal is to build a model to
take the information from new transactions and predict whether each transaction is fraudulent or
not
Which built-in Amazon SageMaker machine learning algorithm should be used for modeling this
problem?
Options
Discussion
No comments yet. Be the first to comment.
Be respectful. No spam.
