Skip to content

Deploying Machine Learning Pipelines in Production: Overcoming common pitfalls

Photo of Matthieu Di Mercurio
Hosted By
Matthieu Di M. and 2 others
Deploying Machine Learning Pipelines in Production: Overcoming common pitfalls

Details

Building a machine learning model that can predict well is one challenge, productionizing it is quite another challenge. How to ensure stability and speed over time and as your data grows in size? How to measure and prevent drift? Come hear about the experiences of machine learning engineers at Google, Stripe, and Shopify.

### Speakers ###

  • Julia Evans, Software Engineer, Stripe
  • Philippe Hamel, Machine Learning Engineer, Google
  • Peng Yu, Merchant Optimization Developer, Shopify

### Schedule ###

6:00 | Doors open

6:30 | Presentations

Co-hosted by Breather, Shopify, and MTL DATA

Photo of MTL Data group
MTL Data
See more events
Breather HQ
5605 Ave de Gaspé, suite 701 · Montréal, QC