Detect Anomalies in Game Transactions with ML and Sagemaker

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Free Online Course: Detect Anomalies in Game Transactions with ML and Sagemaker provided by Pluralsight is a comprehensive online course, which lasts for Less than 1 hour of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from Pluralsight. Detect Anomalies in Game Transactions with ML and Sagemaker is taught by AWS.

Overview
  • 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.

    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.