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MLflow - Platform for Complete Machine Learning Lifecycle

Offered By: Devoxx via YouTube

Tags

Devoxx Courses Amazon SageMaker Courses Model Deployment Courses MLFlow Courses Azure ML Courses Experiment Tracking Courses

Course Description

Overview

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Discover how the MLflow open source platform streamlines the machine learning development lifecycle in this 31-minute Devoxx conference talk. Learn to track experiment runs and results across frameworks, register projects for easy reproducibility, and efficiently productionize models using Docker containers, Azure ML, or Amazon SageMaker. Gain insights from Quentin Ambard, a Solutions Architect at Databricks, as he shares his experience from French startups and explains how MLflow addresses the complexities of ML development beyond traditional software lifecycles. Explore techniques for trying multiple algorithms, tools, and parameters while ensuring reproducibility, especially crucial for deploying models in production environments.

Syllabus

MLflow: Platform for Complete Machine Learning Lifecycle by Quentin Ambard


Taught by

Devoxx

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