Building Real-time ML Pipelines with AzureML + MLRun

What is the purpose of this meeting? Azure Machine Learning (Azure ML) is a cloud-based service for creating and managing machine learning solutions. It helps scale, distribute, and deploy workloads to the cloud. MLRun offers an integrative approach to manage your ML pipelines from early development through management in your production environment. In this session, you learn how to create and run machine learning pipelines by using Azure ML. Use ML pipelines to create a workflow that stitches together various ML phases. Then, publish that pipeline for later access or sharing with others. Track ML pipelines to see how your model is performing in the real world. Why should I be going to this session? This workshop will explain what serverless is, how to use it, and when it should be used. Speaker bio: (https://www.linkedin.com/in/yaronh/?originalSubdomain=il) Yaron Haviv, Founder and CTO of iguazio, deliver an open data science platform for automating ML pipelines and enabling the simpler deployment of AI into business apps. Served in multiple VP and CTO roles, initiated and led several products, features, and open source projects from concept to production with top to bottom and usability first approach. Maintains close engagement with leading customers in the enterprise, cloud, federal, and the system/software vendor community. By registering for this event, you agree to our Code of Conduct (https://konfhub.com/codeofconduct.html). Update your Microsoft Azure Skills on LinkedIn & stand a chance to win the Microsoft Surface Go! (https://www.microsoft.com/en-in/campaign/AzureSkills/?source=BG).

Видео Building Real-time ML Pipelines with AzureML + MLRun автора Кодовое Вдохновение