Understanding Degenerative Bias

Shayan discusses the concept of degenerative bias, emphasizing how outdated stereotypes and personal biases can skew supervised machine learning models. He highlights the reliance on hand-labeled data as a significant source of bias, urging for explicit acknowledgment of these biases to improve model accuracy. Techniques like weakly supervised and active learning are suggested as potential solutions to mitigate degenerative bias in data labeling.

In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
635: The Perils of Manually Labeling Data for Machine Learning Models — with Shayan Mohanty
Related Questions
- Is less labeled data needed for training machine learning models according to the episode The Fallacy of "Ground Truth" with Shayan Mohanty - #576 and the clip Active Learning Insights?

Understanding Degenerative Bias

In this clip

From this podcast

Super Data Science: ML & AI Podcast with Jon Krohn

635: The Perils of Manually Labeling Data for Machine Learning Models — with Shayan Mohanty

Related Questions

Is less labeled data needed for training machine learning models according to the episode The Fallacy of "Ground Truth" with Shayan Mohanty - #576 and the clip Active Learning Insights?