19 Responsible AI for Developers: Fairness & Bias - 繁體中文

19

Responsible AI for Developers: Fairness & Bias - 繁體中文

Name: Responsible AI for Developers: Fairness & Bias - 繁體中文
Rating: 4.1 (3631 reviews)

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Data Modeling

Data Governance

Data Management

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4 个小时中级

本課程旨在說明負責任 AI 技術的概念和 AI 開發原則，同時介紹各項技術，在實務上找出公平性和偏誤，減少 AI/機器學習做法上的偏誤。我們也將探討實用方法和工具，透過 Google Cloud 產品和開放原始碼工具，導入負責任 AI 技術的最佳做法。

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课程信息

目标

定義負責任的 AI 技術
瞭解 Google AI 開發原則
說明 AI 公平性和偏誤的意涵
說明如何透過資料和模型找出並減少偏誤

前提条件

具備機器學習概念、實作、管道和工具的充分知識，有使用 SQL 和 Python 等程式設計語言的經驗。

受众

AI/機器學習開發人員、AI 從業人員、機器學習工程師、數據資料學家

支持的语言

English, español (Latinoamérica), français, bahasa Indonesia, italiano, 日本語, 한국어, polski, português (Brasil), українська, 简体中文, 繁體中文, Deutsch, and Türkçe

19

Responsible AI for Developers: Fairness & Bias - 繁體中文

19

Responsible AI for Developers: Fairness & Bias - 繁體中文

实验室挑战赛的强大作用