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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！
Paradoxes in Data Science
1 12月, 2021 | 5:30 下午 - 6:30 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
What is this session about?
In this talk, Pier Paolo Ippolito will walk you through some of the main paradoxes associated with Data Science and how they can be identified. The session will aim to first define what paradoxes are and then provide some examples of when they might occur when solving Data Science tasks.
Who is it aimed at?
Data Scientists, Machine Learning Engineers, Statisticians, Software Engineers.
Why should people attend?
As part of this session, we will be highlighting some of the most common paradoxes associated with Data Science and its statistical foundations
Any Prerequisites?
Statistics, Programming, Mathematics
Speaker Name:
Pier Paolo Ippolito
Pier Paolo Ippolito is a Data Scientist at SAS and MSc in Artificial Intelligence graduate with an interest in research areas such as Data Analytics, Machine Learning, and Cloud Development. Aside from his work activities, he is a freelancer and technical writer for Towards Data Science. LinkedIn: https://www.linkedin.com/in/pierpaolo28/
Web Contacts: https://linktr.ee/pierpaolo28
Learn Module
https://docs.microsoft.com/en-us/learn/paths/understand-machine-learning/