David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Five years after the Covid-19 pandemic exposed major weaknesses, investments in regional fulfillment, last-mile delivery and ...

Large language models (LLMs) are lowering the entry barriers to working with exciting data sources that used to require strong data science skills, such as handwritten ledgers, text, images, or sound ...