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學習、聯繫、建置

Microsoft Reactor

加入 Microsoft Reactor 並與開發人員即時互動

準備好開始使用 AI 和最新技術嗎？ Microsoft Reactor 提供活動、訓練和社群資源，協助開發人員、企業家和初創公司建置 AI 技術等等。加入我們！

Detect and Mitigate Unfairness in Models with Azure Machine Learning

6 4月, 2022 | 12:30 下午 - 1:30 下午 (UTC) 國際標準時間

格式:
線上直播

主題: 資料科學與機器學習

語言: 英文

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/

演講者