Tabulating the number of objects in categories of interest dates back to the earliest records of commerce and population censuses. So far in this column, we have discussed mainly the statistical ...

A team has developed a new method that facilitates and improves predictions of tabular data, especially for small data sets with fewer than 10,000 data points. The new AI model TabPFN is trained on ...

Statistical and Biological Review of Transcriptome Data Made Possible by Interactive Report Although bench scientists understand the value of using gene-expression microarray technology, the full ...

Databricks, the analytics and AI giant, has acquired data management company Tabular for an undisclosed sum. (CNBC reports that Databricks paid over $1 billion.) According to Tabular co-founder Ryan ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More California-based Tabular, an independent data platform built by the ...

Startup Tabular Technologies Inc., creator of an independent data platform based on the open-source Apache Iceberg data lake software, said today it has closed on a $26 million round of funding. Today ...

The Annals of Applied Statistics, Vol. 7, No. 2 (June 2013), pp. 799-822 (24 pages) Sparse latent multi-factor models have been used in many exploratory and predictive problems with high-dimensional ...

Learning how to use Power BI is fairly easy, and if you’re lucky, the built-in features will provide everything you need to produce professional dashboards for end users. However, you’ll get more out ...

Data analysis can be traced back to as early as the days of the Ancient Egyptians started keeping statistical records while building the pyramids. Since then, data analysis have developed by leaps and ...