Introduction to Project Management

Webinar Summary:

Model Tracking with MLflow in Azure Machine Learning MLflow, integrated into Azure ML, helps track, organize, and reproduce machine learning experiments with ease. It captures metadata like parameters, metrics, and model versions, providing transparency and control across the model lifecycle. This part of the talk will demonstrate how to use MLflow for seamless model versioning and collaboration

Webinar Summary:

This webinar provides an introduction to project management, covering the fundamental definition of a project, its key characteristics, and various methodological approaches for execution. It also explores critical aspects of project control, including scope, time, cost, and risk management.