Shivam Sharma
TechScalable
DESCUBRIR, CONECTAR, CRECER
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¿Todo listo para empezar a usar la IA? Microsoft Reactor proporciona eventos, formación y recursos de la comunidad para ayudar a startups, emprendedores y desarrolladores a crear su próximo negocio con tecnología basada en IA. ¡Acompáñenos!
DESCUBRIR, CONECTAR, CRECER
Microsoft Reactor
Únase a Microsoft Reactor e interactúe con startups y desarrolladores en directo.
¿Todo listo para empezar a usar la IA? Microsoft Reactor proporciona eventos, formación y recursos de la comunidad para ayudar a startups, emprendedores y desarrolladores a crear su próximo negocio con tecnología basada en IA. ¡Acompáñenos!
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Use Visual Tools to Create Machine Learning Models with Azure ML Service
15 febrero, 2022 | 12:30 p. m. - 1:30 p. m. (UTC) Hora universal coordinada
- Formato:
Livestream
Tema del evento: Ciencia de datos y aprendizaje automático
Idioma: Inglés
Machine learning is at the core of artificial intelligence. Many modern applications and services depend on predictive machine learning models. You will learn how to use Azure Machine Learning to create and publish models without writing code.
The session will focus on Azure services and related products like Azure Machine Learning Service, Azure Machine Learning Designer, Azure AutoML, Regression Analysis & Clustering & Classification Analysis.
"Learn how to use the machine learning user interface in Azure Machine Learning service."
Further Learning : https://aka.ms/Azure-ML-LearnModule-15/2
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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