Expanded

Detect Anomalies in Game Transactions with ML and Sagemaker

By AWS
Game studios that are building and operating multiple games tend to redo much of the server-side validation of transactional data received from game clients.
Course info
Level
Beginner
Updated
Feb 8, 2021
Duration
22m
Table of contents
Detect Anomalies in Game Transactions with ML and Sagemaker
Description
Course info
Level
Beginner
Updated
Feb 8, 2021
Duration
22m
Description

Game studios that are building and operating multiple games 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 time. The course reviews the different anomalies associated with game transaction data and how machine learning (ML) can help perform validations.

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AWS
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In collaboration with Amazon Web Services, Pluralsight customers may now access training built by AWS on the Pluralsight Skills technology platform.

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