Manage Your End-to-end Machine Learning Lifecycle with MLOps

Microsoft Ignite 2019 | Manage Your End-to-end Machine Learning Lifecycle with MLOps | Jordan Edwards
Course info
Level
Advanced
Updated
Feb 13, 2020
Duration
39m
Table of contents
Manage Your End-to-end Machine Learning Lifecycle with MLOps
Description
Course info
Level
Advanced
Updated
Feb 13, 2020
Duration
39m
Description

MLOps is all about helping you bring your machine learning workflows to production. This session shows you how to get to production faster with optimized experiences for model training, packaging, validation, deployment and monitoring - and automate + audit all of this within your existing DevOps tooling. With ML Ops, you can store and version models in production, collect continuous feedback on model behavior, and maintain quality models to keep your business and customers ahead. Target audience for this session includes data engineering, data science and AppDev personas.

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