Detect Anomalies in Game Transactions with ML & Amazon Sagemaker
AWS 2020
| Beginner
- 1 video | 22m 53s
Game studios who are building and operating multiple games at a time tend to redo much of the server-side validation of transactional data received from game clients. This course covers the use of a central model (or multiple models per game) for offloading server processing and improving server response times. In addition, the course reviews different anomalies associated with game transaction data and how machine learning (ML) can help perform validations.
IN THIS COURSE
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1. Detect Anomalies in Game Transactions with ML & Amazon SageMaker22m 53s
