DataScience Show

DataScience Show

Share this post

DataScience Show
DataScience Show
Garbage In, Garbage Out: Why Training Data Matters for AI Learning
Copy link
Facebook
Email
Notes
More

Garbage In, Garbage Out: Why Training Data Matters for AI Learning

Mirko Peters's avatar
Mirko Peters
Apr 28, 2025
∙ Paid

Share this post

DataScience Show
DataScience Show
Garbage In, Garbage Out: Why Training Data Matters for AI Learning
Copy link
Facebook
Email
Notes
More
Share

The quality of the data you use to train AI systems determines how well they perform. High-quality training data ensures accurate, fair, and reliable results, while poor-quality data can lead to flawed outputs. For example, studies show that cleansing mislabeled data can boost AI accuracy from 59.7% to 61.1%. On more refined test sets, accuracy jumps ev…

Keep reading with a 7-day free trial

Subscribe to DataScience Show to keep reading this post and get 7 days of free access to the full post archives.

Already a paid subscriber? Sign in
© 2025 Mirko Peters
Privacy ∙ Terms ∙ Collection notice
Start writingGet the app
Substack is the home for great culture

Share

Copy link
Facebook
Email
Notes
More