2018, Clean Data and Supervised Learning

Improving ML Datasets with Cleanlab, a Standard Framework for Data-Centric AI

ODSC - Open Data Science

MARCH 22, 2023

A recent report by Cloudfactory found that human annotators have an error rate between 7–80% when labeling data (depending on task difficulty and how much annotators are paid). Previously, he was a senior scientist at Amazon Web Services developing AutoML and Deep Learning algorithms that now power ML applications at hundreds of companies.

ML ML AI AI

The Hidden Cost of Poor Training Data in Machine Learning: Why Quality Matters

How to Learn Machine Learning

OCTOBER 10, 2024

Real-Life Examples of Poor Training Data in Machine Learning Amazon’s Hiring Algorithm Disaster In 2018, Amazon made headlines for developing an AI-powered hiring tool to screen job applicants. Data Cleaning To ensure model success, it’s crucial to clean data thoroughly, eliminating noise, bias, and inaccuracies.

Machine Learning

Machine Learning Machine Learning Data Quality Algorithm

Data Science Current

Improving ML Datasets with Cleanlab, a Standard Framework for Data-Centric AI

The Hidden Cost of Poor Training Data in Machine Learning: Why Quality Matters

Webinars

Stay Connected