Towards AI Can Help your Team Adopt AI: Corporate Training, Consulting, and Talent Solutions.

Publication

Addressing Data Leakage: Essential Considerations for Trustworthy Machine Learning Models
Latest   Machine Learning

Addressing Data Leakage: Essential Considerations for Trustworthy Machine Learning Models

Last Updated on November 5, 2023 by Editorial Team

Author(s): Mala Deep

Originally published on Towards AI.

Top highlight

Image credit to Adobe Firefly.

With the ChatGPT use case and other AI markets on the rise, the accuracy and trustworthiness of AI models are of utmost importance. The numerous moving parts in this endeavor make it difficult, including data leakage, which is frequently underrated but has serious repercussions.

Before going into what data leakage is, let us use one example.

Do you ever recall a scenario where you received clues about the answers to a test before you had even begun studying?

If so, your exam preparation might have gone really well, but when you sit on exam day, you will be… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI

Feedback ↓