Pandata

☝️Model robustness refers to the ability of a machine learning model to maintain its performance and accuracy even when faced with unexpected data inputs.

In the last mile of AI, model robustness becomes increasingly critical.

🔗 In this ODSC article, Cal Al-Dhubaib explains why, and how companies can ensure their ML models remain effective in production.

How To Improve AI Model Robustness in the Last Mile We must understand what these AI models can and can’t do, and what risks they pose, so that we can develop meaningful ways to measure performance.

We are currently looking for Data Science Consultants - Level II. If you are interested in:

➡️joining a growing organization and team of data science consultants that have both technical and client facing experience
➡️working on cutting-edge AI projects and use cases; many in high risk industries
➡️having a path for growth and advancement.we should talk! https://hubs.li/Q01GNBCj0 🐼

Careers - Pandata We are a AI design and development consultancy looking for growth-minded, client-facing data science talent