These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Welcome to the Python Learning Roadmap in 30 Days! This project is designed to guide you through a structured 30-day journey to learn the Python programming language from scratch and master its ...

Abstract: The robustness of Bayesian neural networks (BNNs) to real-world uncertainties and incompleteness has led to their application in some safety-critical fields. However, evaluating uncertainty ...

In order to retrain the latent classifier, you have to provide an appropriate dataset. Load your data into a pandas.DataFrame object. The dataframe must contain the following columns: 'smiles' - ...

Abstract: The inversion of airborne electromagnetic (AEM) data suffers from severe nonuniqueness in the solution. Bayesian inference provides the means to estimate structural uncertainty with a rich ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

We use Bayesian meta-analysis methods to estimate the impact of unconditional cash transfers (UCTs). Aggregating evidence from 115 studies of 72 UCT programs in middle and low income countries, we ...