Building and Deploying Fair and Unbiased ML Systems - An Art, Not Science
EuroPython Conference via YouTube
Learn AI, Data Science & Business — Earn Certificates That Get You Hired
Master Windows Internals - Kernel Programming, Debugging & Architecture
Overview
Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
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