LEARN, CONNECT, BUILD
Klaar om aan de slag te gaan met AI en de nieuwste technologieën? Microsoft Reactor biedt evenementen, training en communitybronnen om ontwikkelaars, ondernemers en startups te helpen bouwen op AI-technologie en meer. Kom kijken.
LEARN, CONNECT, BUILD
Klaar om aan de slag te gaan met AI en de nieuwste technologieën? Microsoft Reactor biedt evenementen, training en communitybronnen om ontwikkelaars, ondernemers en startups te helpen bouwen op AI-technologie en meer. Kom kijken.
14 december, 2022 | 12:30 p.m. - 1:30 p.m. (UTC) Coordinated Universal Time
LivestreamOnderwerp: Datawetenschap & Machine Learning
Taal: Engels
In this Session, you will learn how we can deploy a Machine learning model using Azure DevOps, How enterprise can work in Agile development involving Data engineer, Data Scientist, Machine Learning engineer and DevOps team together. How Responsible AI and Fairness need to be implemented for Machine learning Model with better Interpretable and fair.
What will you learn from the session?
At the end of this workshop, you will be better able to design and implement end-to-end machine learning model deployment in Enterprise.
Azure services and related products:
• Azure DevOps
• Azure Kubernetes Service
• Azure Machine Learning Service
• Azure Registry
• MLFlow
• Responsible AI and Fairness
Further Learning: https://aka.ms/MLOps-MachineLearning
Speaker: Ayyanar Jeyakrishnan
Speaker BIO - Ayyanar Jeyakrishnan has around 17+ years of IT experience. He is passionate about learning and sharing knowledge on Azure, AWS, Kubernetes, DevOps, Machine Learning, Well Architected Framework in Cloud. He actively contributes to the Cloudnloud Tech community which helps cancer childhood. He has 50+ Technical Certification in AWS, Azure, IBM Cloud, CKA/CKAD, TOGAF Level 2 Certified.
Social Handle
LinkedIn - https://www.linkedin.com/in/jayyanar
Twitter - https://twitter.com/jayyanar1987
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Notatie:
Livestream
Onderwerp: Datawetenschap & Machine Learning
Taal: Engels
Notatie:
Livestream
Onderwerp: Datawetenschap & Machine Learning
Taal: Engels