44 min listen
Tools For Misusing GPT2, Tensorflow, and ML Unfairness
FromJournal Club
ratings:
Length:
26 minutes
Released:
Apr 15, 2020
Format:
Podcast episode
Description
Today on the show, George leads a discussion about the Giant Language Test Room. Lan presents a news item about Setting Fairness Goals with TensorFlow Constrained Optimization Library. This library lets users configure and train machine learning problems based on multiple different metrics, making it easy to formulate and solve many problems of interest to the fairness community. Last but not least, Kyle discusses ML Unfairness, Juvenile Recidivism in Catalonia.
Released:
Apr 15, 2020
Format:
Podcast episode
Titles in the series (27)
Chess Transformer, Kaggle Scandal, and Interpretability Zoo: Welcome to a brand new show from Data Skeptic entitled "Journal Club". Each episode will feature a regular panel and one revolving guest seat. The group will discuss a few topics related to data science and focus on one featured scholarly paper which... by Journal Club