Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...

To speed up computation, deep neural networks (DNNs) usually rely on highly optimized tensor operators. Despite the effectiveness, tensor operators are often defined empirically with ad hoc semantics.

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...

ABSTRACT: In the context of the ongoing reform of educational evaluation, this study examines the implementation pathways of value-added assessment. Utilizing a horizontal comparative analysis of ...

This article is adapted from an edition of our Off the Charts newsletter originally published in October 2021. Off the Charts is a weekly, subscriber-only guide to The Economist’s award-winning data ...

Janus is a Python library designed for robust data validation, serialization, and schema versioning. It offers a comprehensive toolkit to handle input validation, data transformation, and API schema ...

Abstract: Processing nested data collections in large-scale distributed systems exhibits considerable challenges in query processing. Manipulating such data demands an extravagant number of operations ...