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Introduction to MLflow: How to Use MLflow Tracking

Managing the Machine Learning (ML) Lifecycle Using MLflow Workshop Series

 

Series Details

This session is part of the “Managing the Machine Learning (ML) Lifecycle Using MLflow” series with Jules Damji.

Session Abstract

This workshop covers how to use MLflow Tracking to record and query experiments: code, data, config, and results.

Suggested Prep Work:
To get the most out of this series, please review and complete the prep work here: https://github.com/dmatrix/mlflow-workshop-part-1#prerequisites

damji jules profile

Jules Damji. Developer Advocate at Databricks
Jules S. Damji is a Developer Advocate at Databricks and an MLflow contributor. He is a hands-on developer with over 15 years of experience and has worked at leading companies, such as Sun Microsystems, Netscape, @Home, Opsware/Loudcloud, VeriSign, ProQuest, and Hortonworks, building large-scale distributed systems. He holds a B.Sc and M.Sc in Computer Science (from Oregon State University and Cal State, Chico respectively), and an MA in Political Advocacy and Communication (from Johns Hopkins University).

Video Transcript

– All right. So thanks everyone for joining us for this workshop series. This is a three part workshop series about MLflow managing the complete machine learning life cycle with MLflow. So this is the first of, three workshops. This is gonna be your introduction to MLflow, how to use MLflow tracking.

Okay, so there’s a call out there, all videos will be available after we’ve broadcast live. That’s the YouTube link there, when I’m done with my few slides, I’ll drop that in the chat. And then also, if you’re on YouTube, I update the video descriptions to include the links to other workshops. So, I’ll get that up as soon as we have the content ready. So this is part one, part two is gonna be next week. That’s on next Wednesday. So that’s gonna be understanding MLflow projects and models. And then part three is gonna be model registry workflows explained. So that’s gonna be in two weeks on the Wednesday as well. And so there are links to RTP to both those sessions are in the data plus AI meetup group.