Armchair Architects: How architecture is changing – Machine Learning

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In this episode of the Armchair Architect series of the #AzureEnablementShow, David Blank-Edelman is joined by Uli Homann, Microsoft Corporative Vice President and Distinguished Architect, and Chief Data Architect Eric Charran (@mougue) for an in-depth discussion on the how machine learning is changing cloud architecture. Resources • Machine learning at scale - Azure Architecture Center https://aka.ms/azenable/71/01 • Azure Machine Learning - ML as a Service https://aka.ms/azenable/71/02 • Machine Learning Algorithms https://aka.ms/azenable/71/03 • Set up AutoML with the studio UI - Azure Machine Learning https://aka.ms/azenable/71/04 • Microsoft Azure Machine Learning Studio https://aka.ms/azenable/71/05 • GitHub – Machine Learning examples https://aka.ms/azenable/71/06 Related Episodes • Armchair Architects: How architecture is changing – Containers and Collaboration Environments https://aka.ms/azenable/68 • Armchair Architects: How architecture is changing – Serverless https://aka.ms/azenable/69 • Armchair Architects: How architecture is changing – Low-code Development https://aka.ms/azenable/70 To watch more episodes in the Well-Architected Series, check out our playlist: https://aka.ms/azenable/yt/wa-playlist Explore more cloud enablement resources! https://www.azure.com/enablement 0:00 Introduction 1:05 What are machine learning models? 1:28 Transitioning from software 1.0 to software 2.0 3:58 Deterministic vs. Probabilistic code 4:10 Models operate in realms of

Published 2021-11-23 · Watch on YouTube ↗
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