Dr. Kasy is the author of the book “The Means of Prediction: How AI Really Works (and Who Benefits).” Imagine applying for a job. You know you’re a strong candidate with a standout résumé. But you don ...

School leaders can use data as a compass to guide the decision-making process so that students and teachers have a clear path to success. When I first became a school leader, I thought one place where ...

Abstract: With the advancement of database and information technologies, structured data-particularly tabular data-has become widely used across various domains. While pretrained deep learning models ...

TabPFGen is a Python library for generating high-quality synthetic tabular data using energy-based modeling and stochastic gradient Langevin dynamics (SGLD). It supports both classification and ...

Objective: This study aims to investigate the magnitude of hallucinations in tabular synthetic data, whether their frequency increases with training data complexity, and the extent to which they ...

Tabular data analysis is crucial in many scenarios, yet efficiently identifying relevant queries and results for new tables remains challenging due to data complexity, diverse analytical operations, ...

Forbes contributors publish independent expert analyses and insights. Randy Bean is a noted Senior Advisor, Author, Speaker, Founder, & CEO. Visa (NYSE: V), a world leader in digital payments, is ...

A few years back, one of us sat in a school district meeting where administrators and educators talked about the latest student achievement results. The news was not good. Students’ test scores hadn’t ...

Abstract: Due to the fundamental differences in structure between tabular data and image data, CNNs (Convolutional Neural Networks) are challenging to apply directly to the analysis and classification ...

This user guide is created for anyone who is interested in migrating tabular data from Amazon S3 general purpose buckets to Amazon S3 Tables. Amazon S3 Tables are purpose-built for storing tables ...

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 ...