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

After helping build some of the world's most widely used open AI datasets at Hugging Face, Guilherme Penedo and Hynek ...

Uncover the hidden pitfalls of Excel regression and learn why Python is the key to unlocking clean, efficient data analysis.

Abstract: With the rapid advancement of model architectures, the accuracy of industrial predictive modeling now largely hinges on data quality. However, real-world industrial datasets frequently ...

This study aimed to identify the influencing factors associated with sleep quality among undergraduates in Jiangsu, China, and to explore their complex relationships. A cross-sectional survey was ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

SCOREQ (pronounced score-Q) is a framework for speech quality assessment based on pre-training the encoder with the SCOREQ loss. This repo provides four speech quality metrics trained with the SCOREQ ...

A company’s content lies largely in “unstructured data”—those emails, contracts, forms, Sharepoint files, recordings of meetings and so forth created via work processes. That proprietary content makes ...

From the first 5 rows of the dataset, we can see that there are several columns available: species, island, bill_length_mm, bill_depth_mm, flipper_length_mm, body_mass_g, and sex. There also appears ...

Balancing water quality standards while facilitating economic growth with uncertain factors in a complex system is challenging for policy makers. This case study analyses the fictional town of Fortuna ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Data has grades. Much like olive oil, flour, gasoline, beef ...