Three economists grabbed a beer. A multibillion-dollar industry was born.

Three economists grabbed a beer. A multibillion-dollar industry was born. The billion-dollar prediction markets industry ...
Frontiers

Predictive modelling and ranking of physicochemicals in Aegle Marmelos through topological indices and multi-criteria decision-making techniques

The final, formatted version of the article will be published soon. This study presents an integrated computational framework to investigate the quantitative structure–property relationship (QSPR) of ...

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
IEEE

Predictive Modelling for Early Cervical Cancer Diagnosis using Python – based Machine Learning

Abstract: Cervical Cancer is still a major cause of cancer-related morbidity and mortality in women globally, especially in low and middle financial country where routine screening and diagnostic ...
Analytics Insight

Professional Certificate in Data Analytics and Generative AI, Purdue University

Data Analytics and Generative AI are transforming industries worldwide. The Professional Certificate in Data Analytics and ...
GitHub

GluonTS - Probabilistic Time Series Modeling in Python

GluonTS is a Python toolkit for probabilistic time series modeling, built around Apache MXNet (incubating). GluonTS provides utilities for loading and iterating over time series datasets, state of the ...
Frontiers

Predictive modelling of vascular surgery trends using machine learning: a comparative study of Irish public and private tertiary referral centres

Background: Vascular diseases are increasing in Ireland as well as worldwide alongside an ageing society, posing a growing demand for trained and qualified healthcare professionals. In this study, we ...
Scientific Research Publishing

Guevara, G. (2025) Python Analysis of Dripline Parameters on Water Travel Time: A Predictive Modeling Study for Precision Irrigation. Zenodo.

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...