19 Responsible AI for Developers: Fairness & Bias

19

Responsible AI for Developers: Fairness & Bias

Name: Responsible AI for Developers: Fairness & Bias
Rating: 4.1 (3631 reviews)

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Data Modeling

Data Governance

Data Management

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4 heures Intermédiaire

This course introduces concepts of responsible AI and AI principles. It covers techniques to practically identify fairness and bias and mitigate bias in AI/ML practices. It explores practical methods and tools to implement Responsible AI best practices using Google Cloud products and open source tools.

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Informations sur le cours

Objectifs

Define what is Responsible AI
Identify Google’s AI principles
Describe what AI fairness and bias mean
Explain how to identify and mitigate biases through data and modeling

Prérequis

Working knowledge of machine learning concepts and practices. Working knowledge of machine learning pipelines and tools. Prior experience with programming languages such as SQL and Python

Cible

AI/ML Developers, AI Practitioners, ML Engineers, Data Scientists

Langues disponibles

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

19

Responsible AI for Developers: Fairness & Bias

19

Responsible AI for Developers: Fairness & Bias

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