Submissions for MLOps November edition
On ML workflows, tools, automation and running ML in production
This project is accepting submissions for MLOps November conference edition.
The first edition of the MLOps conference was held on 23, 24 and 27 July. Details about the conference including videos and blog posts are published at https://hasgeek.com/fifthelephant/mlops-conference/
Contact information: For inquiries, contact The Fifth Elephant on fifthelephant.editorial@hasgeek.com or call 7676332020.
Hosted by
The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more
GC
Gaetan Castelein
@gcastelein
Using feature stores to build a fraud model
Submitted Jun 2, 2021
Feature stores enable companies to make the difficult leap from research to production machine learning. At their best, feature stores allow you to define new features, automate the data pipelines to process feature values, and serve data for training and online inference. You can quickly and reliably serve features to your production models so your customers aren’t waiting for predictions.
In this talk, we’ll walk through a common use case for feature stores, developing and fielding a fraud model. We’ll show you source code and walk you through the entire lifecycle from building new features to serving online data.
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Hosted by
The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more
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