(Virtual) Crash Course in MLflow (Wil Low)

Title: Crash Course in MLflow

Abstract:
MLflow is an open source platform launched by Databricks for managing the end-to-end machine learning lifecycle. In this one hour session I will attempt to show how machine learning models and artifacts are stored in an organised way and how they can be versioned in a fashion so they can be shared / scaled / deployed across various development/qa/production teams throughout the software development cycle.

References:
What is MLflow?
https://mlflow.org/
https://mlflow.org/docs/latest/index.html

What is Managed MlFlow-Open vs Managed https://databricks.com/product/managed-mlflow

MlFlow quickstart
https://www.mlflow.org/docs/latest/quickstart.html

Mlflow tracking and databricks https://databricks.com/discover/managing-machine-learning-lifecycle/mlflow-tracking

Bio:
Wil Low
Software Engineer working primarily in the Dot Net environment in the East Coast slowly moving towards AWS technologies. Interests include Big Data, Heuristic Search.

NOTE: This is an online event only. You need to RSVP the meeting to see the Zoom link.