Archives for uncertainty in AI
One of the main advantages of Dempster-Shafer theory is that we can utilize it for generating a degree of belief by taking all the evidence into account


We can leverage alternate data such as auto sales to help predict the spending propensity across different customer segments.
It’s essential to understand the inherent uncertainties machine learning models carry to ensure fairness, build trust, and improve decision-making. Despite being an important factor, uncertainty is often overlooked in the context of machine learning-assisted decision making. To this end, IBM released the Uncertainty Quantification 360 (UQ360) open-source toolkit to provide developers and data scientists with…
The post Inside IBM’s Open-Source Toolkit To Measure Uncertainty In ML Models appeared first on Analytics India Magazine.

