Databricks just streamed this workshop on managing the machine learning lifecycle with MLflow

Workshop 1 of 3 | Introduction to MLflow: How to Use MLflow Tracking

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.