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 ...

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...

Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

In this GIJN Academy masterclass video, Fabiola Torres, founder of Salud con Lupa, shares a practical approach to data ...

SentinelOne says macOS.Gaslight uses prompt injection to mislead AI-based malware analysis, steal data, and use Telegram for ...

Data analysis is no longer a specialist skill reserved for analysts. It now supports finance, trading, ecommerce, marketing, ...

Security tooling is not written in a single language. Python powers most automation. C sits at the exploit layer. PowerShell ...

Many of the insights hitting soccer pitches today trace back to Jesse Davis and a team of computer scientists open-sourcing tools for some of the sport’s trickiest problems.

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Compositional data (CoDa) are prevalent in environmental research. They represent parts of a whole, such as percentages, proportions, and relative or absolute abundances. They are arrays of positive ...

In this Python for beginners tutorial, you will learn the essentials for data analysis. The tutorial covers how to install Python using Anaconda and set up Jupyter Notebook as your code editor. You ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...