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Detect Anomalies in Game Transactions with ML and Sagemaker

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.

Beginner
22m
(3)

Created by AWS

Last Updated Oct 29, 2024

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  • Course

Detect Anomalies in Game Transactions with ML and Sagemaker

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.

Beginner
22m
(3)

Created by AWS

Last Updated Oct 29, 2024

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This course is included in the libraries shown below:

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  • Cloud
What you'll learn

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.

Detect Anomalies in Game Transactions with ML and Sagemaker
Beginner
22m
(3)
Table of contents

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AWS - Pluralsight course - Detect Anomalies in Game Transactions with ML and Sagemaker
AWS
157 courses 4.4 author rating 1334 ratings

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