[Online] Serving PyTorch Models in Production [Data Umbrella co-promotion]

Note:
This event is organized by Data Umbrella.

## Link to join the webinar here:
Zoom Link: https://us06web.zoom.us/meeting/register/tZ0vdOytpj0jGdVrlmBZgOVG_TS2QAJREIRZ
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Video Recording
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This event will be recorded and placed on our YouTube. We usually have it up within 24 hours of the event. Subscribe to our YouTube and set your notifications:
https://www.youtube.com/c/DataUmbrella/
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Time
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7am PT / 10am ET / 5pm EAT / 7:30 PM IST

## Speaker
Nidhin Pattaniyil and Vishal Rathi

## Talk Level
Intermediate

## Pre-reqs
-Basics of Machine Learning.
-Some familiarity with PyTorch or TensorFlow.
-Beginner knowledge of Python.

## Prep Work
None

## Resources
Will be provided later.

## Event
This talk is for a data scientist or ML engineer looking to serve their PyTorch models in production. It will cover post training steps that should be taken to optimize the model such as quantization and torch script. It will also walk the user in packaging and serving the model through Facebook's TorchServe.

## Speaker
Nidhin Pattaniyil is a Machine Learning Engineer in Walmart Search.
Vishal Rathi is a Software Engineer in Walmart Search.
LinkedIn: https://www.linkedin.com/in/nidhinpattaniyil/
GitHub: https://github.com/npatta01
LinkedIn: https://www.linkedin.com/in/vishalkumarrathi

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