back chevron
Back to Events
back chevron
Back to Events

From zero to a working ML system with only Python, free serverless services and FTI pipelines

Join us at PyData London

From zero to a working ML system with only Python, free serverless services and FTI pipelines
No items found.

From zero to a working ML system with only Python, free serverless services and FTI pipelines

calendar icon
June 2, 2023
calendar icon
clock icon
9:00 am
BST
clock icon
BST
clock icon
Leonardo Royal Hotel Tower Bridge, London

This tutorial will produce three different Python programs (Feature/Training/Inference pipelines) that, when plugged together make a production ML system.

We will build an operational ML system to predict air quality in London. Instead of a single monolithic ML pipeline, we will build a more manageable system as 3 FTI pipelines: a Feature pipeline, a Training pipeline, and an Inference pipeline, connected together by a feature store. The feature pipeline scrapes new data and provides historical data (air quality observations and weather forecasts), The training pipeline produces a model using the air quality observations and features. The inference pipeline takes weather forecasts and predicts air quality for London, visualized in a UI. The system will be hosted on free serverless services - Modal, Hugging Face Spaces, and Hopsworks. It will be a continually improving ML system that keeps collecting more data, making better predictions, and provides a hindcast with insights into its historical performance.

More info on PyData London.

Register now!

Thank you for registering!
Oops! Something went wrong while submitting the form, please check your details again.

Tags

You might also be interested in:

© Hopsworks 2024. All rights reserved. Various trademarks held by their respective owners.

Privacy Policy
Cookie Policy
Terms and Conditions