Predictive Modeling: Techniques, Uses, and Key Takeaways

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Understanding Sir Arthur Lewis and His Economic Model

Explore Sir Arthur Lewis’s contributions to development economics, including his Nobel-winning dual-sector model, known as the Lewis Model, fostering economic growth.
IEEE

Partition-Based Clustering Algorithms Applied to Mixed Data for Educational Data Mining: A Survey From 1971 to 2024

Abstract: Educational Data Mining (EDM) is the application of data mining methods in the educational domain. In the EDM field, we see mixed data (i.e., text and number data types). Grouping or ...
IEEE

Inversion of Audio Magnetotelluric Data Based on Residual Mixed Density Network With an Estimation of Posterior Distribution Probabilities

Abstract: The inversion of audio magnetotelluric (AMT) data is affected by uncertainties stemming from various factors, including noise, initial model assumptions, and regularization parameters. Among ...
archive

The data model resource book. Volume 2 : a library of universal data models by industry types

Can you chip in? As an independent nonprofit, the Internet Archive is fighting for universal access to quality information. We build and maintain all our own systems, but we don’t charge for access, ...
GitHub

Power Grid Model Data Science (DS)

The Power Grid Model DS project extends the capabilities of the power-grid-model calculation core with a modelling and simulation interface. This is aimed at building data science software ...