Shivam Sharma
TechScalable
LEARN, CONNECT, BUILD
Microsoft Reactor
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LEARN, CONNECT, BUILD
Microsoft Reactor
Partecipa a Microsoft Reactor e interagisci con gli sviluppatori live
Sei pronto per iniziare a usare l''intelligenza artificiale e le tecnologie più recenti? Microsoft Reactor fornisce eventi, formazione e risorse della community per aiutare sviluppatori, imprenditori e startup a sviluppare la tecnologia di intelligenza artificiale e altro ancora. Unisciti a noi.
Indietro
Machine learning operations (MLOps)
4 giugno, 2022 | 4:30 AM - 7:30 AM (UTC) Coordinated Universal Time
- Formato:
Live Stream
Argomento: Data Science & Machine Learning
Lingua: italiano
In this workshop, you will learn how Wide World Importers (WWI) can leverage Deep Learning technologies to scan through their vehicle specification documents to find compliance issues with new regulations and manage the classification through their web application. The entire process from model creation, application packaging, model deployment and application deployment needs to occur as one unified repeatable, pipeline.
At the end of this workshop, you will be better able to design and implement end-to-end solutions that fully operationalize deep learning models, inclusive of all application components that depend on the model.
Azure services and related products:
• Azure Container Instances
• Azure DevOps
• Azure Kubernetes Service
• Azure Machine Learning Service
• Azure AutoML
• ML Ops
• ONNX
• Azure Synapse Analytics
Further Learning: https://aka.ms/MLOps-MachineLearning
Speaker : Shivam Sharma
Speaker BIO- Shivam is an author, cloud architect, speaker, and Co-Founder at TechScalable. Being passionate about ever evolving technology he works on Azure, GCP, Machine Learning, Kubernetes & DevOps. He is also a Microsoft Certified Trainer. He architects’ solutions on Cloud as well on-premises using wide array of platforms/technologies.
Social Handle
LinkedIn - https://www.linkedin.com/in/shivam-sharma-9828a536/
Twitter - https://twitter.com/ShivamSharma_TS
Facebook - https://www.facebook.com/TSshivamsharma/
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