Name: Deploy and Monitor ML Pipelines with Open Source and Free Applications - Rami Krispin, Independent [Pre-Registration Required]
Start: 2024-07-02T19:00:00+0200
End: 2024-07-02T20:00:00+0200

The Sched app allows you to build your schedule for the useR! Virtual Event. The virtual event is free; there is no cost to participate.

Virtual Tutorials will take place live on Zoom, and you must pre-register in order to participate. You will be able to use the chat and Q&A features in Zoom to ask the presenters questions. Please register by clicking on the link in the tutorial’s description.

Virtual Session Presentations will take place on YouTube Premier. Speakers will be available during the presentation to answer questions in the chat. The presentations can be found in this playlist.

Please note: This schedule is automatically displayed in Central European Summer Time (UTC+02:00). To see the schedule in your preferred timezone, please select from the drop-down located at the bottom of the menu to the right.

IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

The in-person program will take place in Salzburg, Austria, on 8-11 July. Please see the in-person schedule page for more information.

Tuesday July 2, 2024 19:00 - 20:00 CEST

Zoom

Tutorial Registration

The workshop will focus on different deployment designs of machine learning pipelines using R, open-source applications, and free-tier tools. We will use the US hourly demand for electricity data from the EIA API to demonstrate the deployment of a pipeline with GitHub Actions and Docker that fully automates the data refresh process and generates a forecast on a regular basis. This includes the use of open-source tools such as point-blank to monitor the health of the data and the model's success. Last but not least, we will use Quarto doc to set up the monitoring dashboard and deploy it on GitHub Pages.

Speakers

Rami Krispin

Senior Manager Data Science and Engineering, Independent

Rami Krispin is a data science and engineering manager who mainly focuses on time series analysis, forecasting, and MLOps applications. He is the author of Hands-On Time Series Analysis with R and is currently working on my next book, Applied Time Series Analysis and Forecasting... Read More →

Tuesday July 2, 2024 19:00 - 20:00 CEST
Zoom

Virtual Tutorial, Programming

Virtual useR! 2024

Rami Krispin

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