Workshop | Managing the Complete Machine Learning Lifecycle with MLflow: 3 of 3

Join us for a 3 part online technical workshop series: Managing the Complete Machine Learning Lifecycle with MLflow. If you’re interested in learning about machine learning and MLflow, this workshop series is for you!

Workshop 3 of 3 | Introduction to MLflow: Model Registry Workflows Explained

Level: Beginner/Intermediate Data Scientist or ML Engineer

Details: This workshop is an introduction to MLflow. Machine Learning (ML) development brings many new complexities beyond the traditional software development lifecycle. Unlike in traditional software development, ML developers want to try multiple algorithms, tools and parameters to get the best results, and they need to track this information to reproduce work. In addition, developers need to use many distinct systems to productionize models.

To solve these challenges, MLflow (https://mlflow.org/), an open source project, simplifies the entire ML lifecycle. MLflow introduces simple abstractions to package reproducible projects, track results, encapsulate models that can be used with many existing tools, and central repository to share models, accelerating the ML lifecycle for organizations of any size.

What you will learn: Understand how the Model Registry helps address challenges of the ML lifecycle.
- Concepts and motivation behind Model Registry
- Tour of the the Model Registry Documentation and APIs
- How to use Model Registry Workflows: Model Registry UI and Model Registry API
- How to manage, annotate, and transition models with Model Registry
- Use Model Registry UI on the local host
- Deploy and serve a registered model on the local host

Suggested prep work: Please review:
- Prerequisites: https://github.com/dmatrix/mlflow-wor...
- Setup Instructions: https://github.com/dmatrix/mlflow-wor...

- Watch Workshop #1:    • Workshop | Managing the Complete Mach...  
- Watch Workshop #2:    • Workshop | Managing the Complete Mach...  

Agenda: 9AM PDT - 10AM PDT (GMT-8)

9:00AM - 9:50AM - Workshop led by Jules
9:50AM - 10:00AM - Q&A

To join the live chat, check out the meetup page: https://www.meetup.com/data-ai-online... Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-nam...