AI coding transforms data engineering: How dltHub's open-source Python library helps developers create data pipelines for AI in minutes

A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in ...
How-To Geek on MSN

How to run R-style linear regressions in Python the easy way

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...
How-To Geek on MSN

I Use Python, but I’m Learning R and the Tidyverse for Data Analysis Too

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...
CSO Online

Claude AI vulnerability exposes enterprise data through code interpreter exploit

Security researcher demonstrates how attackers can hijack Anthropic’s file upload API to exfiltrate sensitive information, ...

Satya Nadella announces new features for researchers in Microsoft 365 Copilot

Satya Nadella has unveiled Researcher and Analyst, two advanced reasoning agents in Microsoft 365 Copilot, enabling secure, ...

Regex for SEO: The simple language that powers AI and data analysis

From Google Search Console to LLMs, regex helps structure and interpret text data efficiently. See how it connects SEO and AI ...
Unite.AI

How Causal AI is Finally Building AI Models That Can Reason, Not Just React

For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...

Unlock the Secrets of AI Data Analysis : Simplify Your Data Analysis Workflow

Learn how AI tools can simplify data analysis in just 21 minutes with frameworks, practical examples, and innovative ...
Scientific Research Publishing

Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning ()

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
IEEE

Minimizing Adversarial Training Samples for Robust Image Classifiers: Analysis and Adversarial Example Generator Design

Abstract: Training deep neural networks (DNNs) with altered data, known as adversarial training, is essential for improving their robustness. A significant challenge emerges as the robustness ...