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Microsoft Reactor

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准备好开始使用 AI 和最新技术了吗？ Microsoft Reactor 提供活动、培训和社区资源，帮助开发人员、企业家和初创公司利用 AI 技术等。快加入我们吧！

Detect and Mitigate Unfairness in Models with Azure Machine Learning

6 四月, 2022 | 12:30 下午 - 1:30 下午 (UTC) 协调世界时

形式:
直播

主题: 数据科学和机器学习

语言: 英语

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/

主讲人