MLflow in Practice: Definitive Reference for Developers and Engineers

"MLflow in Practice" is a comprehensive guide for data scientists, ML engineers, and enterprise practitioners seeking to harness the full power of MLflow in modern MLOps workflows. The book opens with a thorough exploration of MLflow's core components-including Experiment Tracking, Projects, Models, and Model Registry-demystifying its architecture, deployment patterns, and seamless integration with leading platforms like Databricks, AzureML, Kubeflow, and Airflow. Readers gain valuable insi...