How does TFX leverage Apache Beam in ML engineering for production ML deployments?
Saturday, 05 August 2023 by EITCA Academy
Apache Beam is a powerful open-source framework that provides a unified programming model for both batch and streaming data processing. It offers a set of APIs and libraries that enable developers to write data processing pipelines that can be executed on various distributed processing backends, such as Apache Flink, Apache Spark, and Google Cloud Dataflow.
- Published in Artificial Intelligence, EITC/AI/TFF TensorFlow Fundamentals, TensorFlow Extended (TFX), ML engineering for production ML deployments with TFX, Examination review
Tagged under: Apache Beam, Artificial Intelligence, Data Processing, ML Engineering, Production ML Deployments, TFX
How does TFX address the challenges posed by changing ground truth and data in ML engineering for production ML deployments?
Saturday, 05 August 2023 by EITCA Academy
TFX (TensorFlow Extended) is a powerful framework that addresses the challenges posed by changing ground truth and data in ML engineering for production ML deployments. It provides a comprehensive set of tools and best practices to handle these challenges effectively and ensure the smooth operation of ML models in production. One of the key challenges