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Hands-on Events
Join our choose-your-own-adventure virtual hands-on series! We will bring everyone in the analytics loop through the stages of the Dataiku MLOps process in 8 exciting sessions. Join one, several, or all of the sessions, it's all up to you!
(Past) Stage 3 - April 6: AutoML - Classification
(Past) Stage 4 - May 10: AutoML - Forecasting (Click here for the presentation)
(Past) Stage 5 - June 22: Preparing for Model Production (Click here for the dataset - click here for the presentation and code snippet)
Stage 6 - August 1: Model Deployment
Stage 7 - October 26: Model Monitoring
Stage 8 - November 23: Exploring Model Drift in Machine Learning with Dataiku
These sessions will let you get first-hand experience with the entire MLOps cycle. Starting from the Classification and Time series sessions, you will how to prepare and clean-up the data and build a model. Then you will experience Model Preparation where you will set guardrails to ensure the model is ready for deployment. Finally the last two sessions will cover Model Deployment and Monitoring to ensure your models are working in production and remain accurate after deployment.
During these sessions you will follow-along with our experts as they walk through real data science projects on Dataiku. You will see how easy it is to execute machine learning and AI functions and see examples or a variety of use-cases.
Copyright © 2023 Dataiku. All rights reserved. | Online Privacy