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Building and Deploying Fair and Unbiased ML Systems - An Art, Not Science

Offered By: EuroPython Conference via YouTube

Tags

EuroPython Courses Machine Learning Courses Model Deployment Courses Data Bias Courses Ethical AI Courses

Course Description

Overview

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Explore effective practices for building and deploying ethical, fair, and unbiased machine learning models in production in this 30-minute conference talk from EuroPython 2023. Delve into the challenges of developing AI systems, addressing the low deployment rate of ML models, and understanding the impact of biased data on decision-making processes. Learn how to navigate the complexities of ML model boundaries and data distribution to create more responsible and effective AI solutions. Gain insights into the art of machine learning implementation and discover strategies to overcome the "garbage in, garbage out" phenomenon in AI development.

Syllabus

Building and Deploying Fair and Unbiased ML Systems: An Art, Not Science — Rashmi Nagpal


Taught by

EuroPython Conference

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