RunInference → https://goo.gle/3kWnkC5
Machine Learning → https://goo.gle/3XR73wD
Dataflow ML → https://goo.gle/3kWwMVL
You’ve built a machine learning model and run it on your laptop for development and testing. However, you are ready for more significant tasks like running predictions against a large batch of data or continuously running predictions at scale. In this video, Head of Decision Intelligence Cassie Kozyrkov discusses using a data processing framework like Apache Beam to put a machine learning model into production. Watch along to get started with the new Run-Inference utility in Apache Beam.
Chapters:
0:00 – Intro
0:48 – Using Apache Beam for data processing framework
2:26 – The process before the Apache Beam RunInference utility
4:09 – A faster method with Apache Beam RunInference utility
5:12 – Multiple models in the same pipeline
6:00 – RunInference + Beam expressiveness Branched A/B models
6:36 – Wrap up
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