Alyona Galyeva - We build a ML pipeline after we deploy
Channel: EuroPython Conference
Date: 04/10/2021

We build a ML pipeline after we deploy
[EuroPython 2021 - Talk - 2021-07-29 - Parrot [Data Science]]
[Online]

By Alyona Galyeva

This talk covers the importance of building end-to-end machine learning pipelines from day one. 

What you will learn:
- why we need a machine learning pipeline and when to use it;
- ML pipeline building blocks covering training and inference;
- engineering around failures and engineering for performance;
- ML pipelines debugging and monitoring;
- open-source Python libraries to save your time.

For whom:
- data scientists, data analysts, data engineers, machine learning engineers, data product owners, Python developers, working or willing to work with machine learning.

Prerequisites:
to get the most out of this talk, Data Science, ML, and Python experience is recommended


License: This video is licensed under the CC BY-NC-SA 4.0 license: https://creativecommons.org/licenses/by-nc-sa/4.0/
Please see our speaker release agreement for details: https://ep2021.europython.eu/events/speaker-release-agreement/