Shivam Sharma
TechScalable
LEARN, CONNECT, BUILD
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LEARN, CONNECT, BUILD
Microsoft Reactor
Neem deel aan Microsoft Reactor en neem live contact op met ontwikkelaars
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.
Terug
Detect and Mitigate Unfairness in Models with Azure Machine Learning
6 april, 2022 | 12:30 p.m. - 1:30 p.m. (UTC) Coordinated Universal Time
- Notatie:
Livestream
Onderwerp: Datawetenschap & Machine Learning
Taal: Engels
Machine learning models can often encapsulate unintentional bias that results in unfairness. With Fairlearn and Azure Machine Learning, you can detect and mitigate unfairness in your models. In this session you will learn about mitigating predictive disparity in a machine learning model.
The session will focus on Azure services and related products like Azure Machine Learning Service & Azure Machine Learning SDK.
What will you learn from the session:
a) How to evaluate machine learning models for fairness.
b) How to mitigate predictive disparity in a machine learning model.
Further Learning : https://aka.ms/AzMachineLearning
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/
Sprekers
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