Shivam Sharma
TechScalable
LEARN, CONNECT, BUILD
Microsoft Reactor
Microsoft Reactor에 가입하고 개발자와 라이브 참여
AI 및 최신 기술을 시작할 준비가 되셨나요? Microsoft Reactor는 개발자, 기업가 및 신생 기업이 AI 기술 등을 기반으로 구축하는 데 도움이 되는 이벤트, 교육 및 커뮤니티 리소스를 제공합니다. 참여하세요.
LEARN, CONNECT, BUILD
Microsoft Reactor
Microsoft Reactor에 가입하고 개발자와 라이브 참여
AI 및 최신 기술을 시작할 준비가 되셨나요? Microsoft Reactor는 개발자, 기업가 및 신생 기업이 AI 기술 등을 기반으로 구축하는 데 도움이 되는 이벤트, 교육 및 커뮤니티 리소스를 제공합니다. 참여하세요.
돌아가기
Detect and Mitigate Unfairness in Models with Azure Machine Learning
6 4월, 2022 | 12:30 오후 - 1:30 오후 (UTC) 협정 세계시
- 서식:
Livestream
항목: 데이터 과학 및 Machine Learning
언어: 영어
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/
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